Optimization system, optimization method and program

Abstract

To enable formulation of a plan considering also data having a change in situation according to a time lapse.SOLUTION: An optimization system 1, which is an optimization system including a plurality of elements and optimizing a plan for achieving a predetermined purpose, includes: purpose information acquisition means 10 that acquires purpose information indicating a purpose; element information acquisition means 20 that acquires element information indicating an element; purpose-related information acquisition means 30 that acquires purpose-related information related to the purpose; plan formulation means 50 that formulate a plan in which at least a part of the plurality of elements is optimized, on the basis of the purpose information, the element information and the purpose-related information. The purpose-related information acquisition means 30 acquires, as the purpose-related information, static data having no change for a predetermined period, and dynamic data having a change for a predetermined period.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an optimization system, an optimization method, and a program for optimizing a plan that includes multiple elements and is intended to achieve a predetermined objective. [Background technology]

[0002] For example, Patent Document 1 proposes that a vehicle driving route planning system that searches for the optimal combination of driving routes for an entire group of vehicles consisting of multiple vehicles plans one driving route for each of the multiple vehicles as a single route, generates a group of multiple candidate routes for each of the multiple vehicles that are similar to the single route, selects one optimal driving route from the group of multiple candidate routes for each of the multiple vehicles, and searches for the optimal combination of driving routes for the entire group of vehicles consisting of multiple vehicles. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2024-47529 Summary of the Invention [Problem to be solved by the invention]

[0004] The system of Patent Document 1 shows that a travel route is optimized based on data that is predetermined and does not change over time, such as a single travel route and a group of candidate routes for multiple vehicles. However, depending on the purpose of the plan, the situation may change over time, and an appropriate plan may not be formulated if the plan is formulated only based on data that does not change over time.

[0005] The present invention has been made to solve these problems, and aims to provide an optimization system that can formulate plans that take into account data on situations that change over time. [Means for solving the problem]

[0006] (1) An optimization system that includes multiple elements and optimizes a plan to achieve a predetermined objective, a purpose information acquiring means for acquiring purpose information indicating the purpose; an element information acquisition means for acquiring element information indicating the element; a destination-related information acquisition means for acquiring destination-related information related to the destination; a planning unit that plans the plan in which at least some of the plurality of elements are optimized based on the objective information, the element information, and the objective-related information; The purpose-related information acquisition means includes, as the purpose-related information: Static data that remains unchanged for a given period of time; and acquiring changing dynamic data during the predetermined period.

[0007] According to the invention (1), the optimization system includes a goal information acquisition means, an element information acquisition means, a goal-related information acquisition means, and a plan formulation means, and optimizes a plan that includes multiple elements and is intended to achieve a specified goal. The purpose information acquiring means acquires purpose information indicating a purpose. The element information acquisition means acquires element information indicating an element. The purpose-related information acquisition means acquires purpose-related information related to the purpose. A plan is formulated based on the plan formulation means, the objective information, the element information, and the objective-related information, in which at least some of the elements are optimized. The purpose-related information acquisition means acquires, as purpose-related information, static data that does not change over a predetermined period of time and dynamic data that changes over a predetermined period of time.

[0008] In the invention (1), the optimization system, when optimizing a plan that includes multiple elements and is intended to achieve a predetermined objective, formulates the plan in which at least some of the multiple elements are optimized based on objective information that indicates the objective, element information that indicates the elements, and objective-related information that is related to the objective. This makes it possible to comprehensively obtain the information necessary to formulate a plan to achieve a predetermined objective, thereby enabling the formulation of an appropriate plan that takes into account multiple factors.

[0009] Furthermore, the optimization system acquires static data that does not change over a specified period of time and dynamic data that changes over a specified period of time as objective-related information, making it possible to formulate plans from a long-term perspective using the static data, while optimizing the plans based on the ever-changing situation using the dynamic data. Therefore, it is possible to provide an optimization system that can formulate a plan that takes into account data on situations that change over time.

[0010] (2) The optimization system according to (1), wherein the planning means formulates the plan using a quantum-inspired algorithm.

[0011] When optimizing a plan to achieve a specific objective, analyzing more information increases the likelihood of formulating a more appropriate plan. However, analyzing more information increases the number of combinations required to derive an optimal solution, making it more complex, which increases the load on the computer and may result in longer time required to optimize the plan. In addition, it may become necessary to recalculate the optimal scenario more frequently in response to changes in the time series, which may lead to significant delays depending on the performance of the computing infrastructure.

[0012] According to the invention (2), plans are formulated using quantum-inspired algorithms. This makes it possible to acquire more information and speed up the process of formulating a plan from this information, thereby enabling a more appropriate plan to be formulated more quickly.

[0013] (3) further comprising an integrated element generating means for integrating a plurality of the elements to generate one integrated element; The optimization system according to (1) or (2), wherein the plan formulation means formulates the plan in which the integrated elements are optimized.

[0014] When a plan includes multiple elements, a plan in which one element is optimized may sacrifice other elements.

[0015] According to the invention of (3), a plurality of elements are integrated to generate one integrated element, and a plan is formulated to optimize this integrated element. This makes it possible, for example, to generate a single integrated element by prioritizing multiple elements, or to generate a single integrated element that balances multiple elements as a whole, thereby enabling the formulation of more appropriate plans.

[0016] (4) The purpose-related information includes confidential information obtained from users in a specific area and public information that has been made public; The optimization system according to (1) or (2), wherein the plan formulation means performs processing in a state where the confidential information is not leaked to the outside, and formulates the plan.

[0017] Here, when formulating a plan optimized for each individual user in a specific area, it is necessary to obtain personal information of each individual user, but this obtained personal information must be handled in a highly secure environment.

[0018] According to the invention of (4), confidential information acquired from users in a specific area is processed and a plan is formulated in a manner that prevents the confidential information from leaking to the outside. This makes it possible to prevent confidential information obtained for formulating a more optimized plan from being leaked to the outside during the process of formulating the plan.

[0019] (5) A method implemented by an optimization system that optimizes a plan that includes multiple elements and that aims to achieve a predetermined objective, comprising: acquiring purpose information indicating the purpose; obtaining element information indicating the element; obtaining goal-related information related to the goal; and formulating the plan based on the objective information, the element information, and the objective-related information, so that at least some of the elements are optimized; The purpose-related information includes: Static data that remains unchanged for a given period of time; and acquiring dynamic data that changes over the predetermined period.

[0020] (6) An optimization system that includes multiple elements and optimizes a plan to achieve a predetermined objective. a purpose information acquiring means for acquiring purpose information indicating the purpose; an element information acquisition means for acquiring element information indicating the element; a destination-related information acquisition means for acquiring destination-related information related to the destination; a planning unit that formulates the plan in which at least some of the plurality of elements are optimized based on the objective information, the element information, and the objective-related information; The purpose-related information acquisition means includes, as the purpose-related information: Static data that remains unchanged for a given period of time; and acquiring dynamic data that changes during the predetermined period.

[0021] According to the inventions (5) and (6), the same effects as those of the optimization system according to (1) are achieved. [Effects of the Invention]

[0022] According to the present invention, it is possible to provide an optimization system that can formulate a plan taking into consideration data on situations that change over time. [Brief explanation of the drawings]

[0023] [Figure 1] 1 is a block diagram showing a functional configuration of an optimization system according to an embodiment of the present invention. [Figure 2] 1 is a flowchart illustrating an optimization process executed by the optimization system according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0024] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, modes for carrying out the present invention (hereinafter referred to as embodiments) will be described in detail with reference to the accompanying drawings.

[0025] <Embodiment> [Optimization System Overview]

[0026] As one example of application, the optimization system according to an embodiment of the present invention can be applied to the computational processing infrastructure of AI (Artificial Intelligence) services dedicated to users in a specific area (such as a compact smart city and its 5km radius: target area), where various smart services requiring low-latency multi-objective optimization processing can be deployed.

[0027] On such a computing platform, the optimization system uses static data such as user attributes, history, and preferences, as well as dynamic data such as real-time people flow, reservations, prices, and weather, to perform multi-objective optimization processing (combinatorial optimization with multiple target values) tailored to the purpose.

[0028] In the multi-objective optimization process, the computing infrastructure described above must frequently regenerate combination proposals (plans) that take into account real-time external factors, requiring extremely fast and accurate optimization processing capabilities. Furthermore, when considering areas with thousands to tens of thousands of users in the specific area, existing optimization processing methods can cause significant delays in processing, potentially destroying the business models of each service.

[0029] The optimization system according to this embodiment uses a quantum-inspired algorithm to formulate plans, and therefore can formulate plans with extremely high speed and accuracy.

[0030] [System Functionality Configuration] Next, the functional configuration of the system will be described. FIG. 1 is a block diagram showing the functional configuration of an optimization system according to an embodiment of the present invention.

[0031] The optimization system 1 is connected via a network to a user terminal 200 operated by a user (e.g., a user), and includes a goal information acquisition means 10, an element information acquisition means 20, a goal-related information acquisition means 30, an integrated element generation means 40, a plan formulation means 50, a provision means 60, and a storage means 100, and optimizes a plan that includes multiple elements and is intended to achieve a specified goal.

[0032] The purpose information acquiring means 10 acquires purpose information indicating a predetermined purpose. In detail, the purpose information acquiring means 10 acquires (receives) the purpose information based on a user operation on the user terminal 200 (for example, an operation of transmitting text information indicating a purpose or selecting one of a plurality of candidate purposes), and stores the purpose information in the storage means 100.

[0033] The element information acquiring means 20 acquires element information indicating an element. In detail, the element information acquiring means 20 acquires (receives) element information based on a user operation on the user terminal 200 (for example, an operation of transmitting text information indicating an element, or selecting one of multiple element candidates), and stores the element information in the storage means 100. Note that the element information acquiring means 20 may acquire, for example, by AI, element information indicating elements that are conditions for achieving the objective indicated by the objective information acquired by the objective information acquiring means 10, and present the element information to the user (for example, transmit it to the user terminal 200, display it on the user terminal 200).

[0034] The goal-related information acquisition means 30 acquires goal-related information related to the goal indicated by the goal information acquired by the goal information acquisition means 10. In detail, the goal-related information acquisition means 30 acquires (receives) goal-related element information from the user terminal 200 or other external device, and stores it in the storage means 100. Note that the goal-related information acquisition means 30 may, for example, use AI to identify the type of information required to achieve the goal indicated by the goal information acquired by the goal information acquisition means 10, and acquire this identified type of information as goal-related information.

[0035] Here, the purpose-related information acquired by the purpose-related information acquisition means 30 includes confidential information acquired from the user (such as personal information of the user) and public information that has been made public. The object-related information acquisition means 30 includes a secret information acquisition means 31 for acquiring secret information, and a public information acquisition means 32 for acquiring public information.

[0036] It is desirable that the secret information acquisition means 31 stores the secret information in a storage device (such as the storage means 100) installed in a more secure environment. For example, when the optimization system 1 is applied to a computing platform for an AI service dedicated to users in a specific area, it is desirable to store the secret information in a section within the specific area where communication with the outside is restricted (such as a data center or server room). This reduces the possibility of information leaking outside the section, compared to when the information is stored in an external rental server, for example.

[0037] The purpose-related information acquired by the purpose-related information acquisition means 30 includes static data that does not change over a predetermined period of time and dynamic data that changes over a predetermined period of time. The private information acquisition means 31 and the public information acquisition means 32 each acquire static data and / or dynamic data.

[0038] The integrated element generation means 40 integrates a plurality of elements to generate one integrated element. In detail, the integrated element generation means 40 integrates a plurality of elements acquired by the element information acquisition means 20 based on predetermined conditions to generate one integrated element, and stores the generated integrated element in the storage means 100.

[0039] Specifically, as an example of a predetermined condition, the integrated element generation means 40 multiplies each element by a different weight based on a predetermined index (e.g., user requests, etc.), and uses the sum of these products as the integrated element (weighted sum). In addition, the integrated element generation means 40 fixes one major element (e.g., cost, etc.) as an example of a predetermined condition, and generates an integrated element using other elements (e.g., time to achieve the goal) as constraint conditions (ε constraint method). Furthermore, the integrated element generating means 40 sets, as an example of a predetermined condition, a Pareto front (a set of points that cannot be improved without sacrificing other elements) obtained by simultaneously optimizing a plurality of elements as an integrated element.

[0040] The plan formulation means 50 formulates a plan in which at least a portion of the multiple elements is optimized based on the goal information, element information, and goal-related information. In detail, the plan formulation means 50 formulates a plan in which at least a portion of the multiple elements is optimized based on the goal information acquired by the goal information acquisition means 10, the element information acquired by the element information acquisition means 20, and the goal-related information acquired by the goal-related information acquisition means 30, for example, using AI, and stores the plan in the storage means 100. Furthermore, the plan formulation means 50 may formulate a plan in which the integrated elements are optimized based on the goal information acquired by the goal information acquisition means 10, the integrated elements integrated by the integrated element generation means 40, and the goal-related information acquired by the goal-related information acquisition means 30, for example, using AI, and store the plan in the storage means 100.

[0041] Furthermore, the plan formulation means 50 formulates a plan using a quantum-inspired algorithm. For example, the plan formulation means 50 can formulate a plan using a quantum annealing-inspired algorithm, a quantum walk-inspired algorithm, a quantum Fourier transform (QFT)-inspired algorithm, a quantum Monte Carlo-inspired algorithm, a quantum neural network-inspired algorithm, or the like.

[0042] In this way, by using a quantum-inspired algorithm in the planning means 50, the processing speed can be significantly improved. This reduces the load on the hardware and power consumption during operation of the optimization system 1, thereby reducing running costs and lowering usage fees. In addition, since the size of the hardware can be reduced, the space required to install the optimization system 1 (for example, a server room) can be saved. Furthermore, the improvement in the processing speed of the planning means 50 allows a significant increase in user capacity.

[0043] Furthermore, the plan formulation means 50 processes and formulates a plan in a manner that prevents confidential information from being leaked to anyone other than the user. When confidential information is included in the goal-related information, it is desirable that the plan formulation means 50 be configured in a device (such as a server) installed in a more secure environment. For example, when the optimization system 1 is applied to a computing processing platform for an AI service dedicated to users in a specific area, it is desirable that the plan formulation means 50 be configured in a section within the specific area where communication with the outside is restricted (such as a data center or server room). This reduces the possibility of information leakage compared to, for example, storing information on an external rental server.

[0044] The providing means 60 provides (transmits, displays in a state that can be viewed by the user, etc.) plan information indicating the plan formulated by the plan formulation means 50 to the user terminal 200.

[0045] Next, an application example of the optimization system 1 will be described. (Application example 1: Personal concierge AI (BtoC)) In Application Example 1, the optimization system 1 proposes multiple optimal behavioral scenarios (plans) (e.g., Pareto optimal) for individual users (users) within a specific area based on their preferences, abilities, experience, PHR, and other factors, as well as their current needs, taking into account real-time external circumstances. The optimization system 1 also handles reservations and payments based on user selections. Specifically, the optimization system 1 formulates and provides travel and delivery plans for public transportation, MaaS (Mobility as a Service), and other services; formulates and proposes lifestyle plans (for work, study, travel, hobbies, etc.); and formulates and proposes health plans (through processing of health information such as medical records, PHR, and exercise history). The optimization system 1 may also make reservations and purchases based on the formulated plans.

[0046] In the application example 1, the purpose information acquisition means 10, the element information acquisition means 20, and the purpose-related information acquisition means 30 acquire, for example, the following information. The purpose information acquisition means 10 acquires information indicating, as purpose information, movement to a specified location (travel destination, etc.), carrying out a lifestyle (work, study, travel, hobbies, etc.), carrying out health care (through processing of health information such as medical records, PHR, exercise history, etc.), etc. The element information acquiring means 20 acquires, as element information, information indicating time (travel time, time required to achieve, etc.), budget, degree of physical strain, satisfaction, degree of health contribution, etc. The purpose-related information acquisition means 30 acquires information indicating the user's preferences, abilities, experience, PHR (Personal Health Record), needs, etc. as static data, and also acquires information indicating real-time external conditions (people flow, reservations, prices, weather, etc.) as dynamic data.

[0047] (Application example 2: Public MaaS (BtoB)) In application example 2, the optimization system 1 continues to frequently formulate MaaS vehicle operation plans that minimize transportation costs for organizations and local governments that provide human transportation and autonomous delivery services using MaaS, based on information on the current locations and destinations of vehicles (general, public transportation, and trucking) and people, as well as current traffic congestion information, weather, and user needs. Note that the optimization system 1 may control MaaS vehicles based on the formulated plans.

[0048] In the second application example, the purpose information acquisition means 10, the element information acquisition means 20, and the purpose-related information acquisition means 30 acquire, for example, the following information: The purpose information acquisition means 10 acquires information indicating MaaS vehicle operation. The element information acquisition means 20 acquires information indicating transportation cost, convenience, etc. as element information. The purpose-related information acquisition means 30 acquires, as static data, information indicating the current location and destination of vehicles (vehicles used for general and public transportation, shipping, etc.) and people, user needs, etc., and also acquires, as dynamic data, information indicating current traffic congestion information, weather information, etc.

[0049] (Application example 3: Facility operation optimization (BtoB)) In Application Example 3, the optimization system 1 formulates a set of optimization proposals (e.g., Pareto optimal) for building owners regarding current building operation and future renovations based on static specification data such as the use, scale, design, and facilities of a specific building, as well as surrounding statistical attribute data such as people flow and culture, real-time people flow and crowd attributes (e.g., "mobile spatial statistics"), and dynamic data such as weather. The optimization system 1 may also allow users to select from the formulated optimization proposals and place advance orders. Specifically, the optimization system 1 minimizes energy consumption by optimizing air conditioning and lighting, maximizes facility revenue by optimizing event content and timing, optimizes events, signage, and spatial UX (user experience) in real time in response to sudden changes in weather and people flow, and proposes plans that maximize mid- to long-term cost effectiveness from a variety of hardware and software investments in mid- to long-term repair plans.

[0050] In the application example 3, the purpose information acquisition means 10, the element information acquisition means 20, and the purpose-related information acquisition means 30 acquire, for example, the following information. The purpose information acquisition means 10 acquires information indicating the current building operation and future renovation. The element information acquisition means 20 acquires information indicating cost, profitability, etc. as element information. The purpose-related information acquisition means 30 acquires, as static data, information indicating the use, size, design, facilities, etc. of a specific building, and also acquires, as dynamic data, information indicating surrounding statistical attribute data such as people flow and culture, real-time people flow and crowd attributes (such as "mobile spatial statistics"), weather, etc.

[0051] (Application example 4: Material blend optimization (BtoB)) In application example 4, optimization system 1 proposes multiple substance formulation and processing methods that optimize the needs of companies in the drug discovery and materials sectors based on a wide variety of compound and metal options, previously published research results, and physical laws.

[0052] In the application example 4, the purpose information acquisition means 10, the element information acquisition means 20, and the purpose-related information acquisition means 30 acquire, for example, the following information. The objective information acquisition means 10 acquires information indicating the compounding and processing of substances, drug discovery and material development. The element information acquisition means 20 acquires information indicating costs, vendor (drug discovery / materials sector) needs, etc. as element information. The purpose-related information acquisition means 30 acquires, as static data, information indicating a wide variety of compound and metal options, previously published research results, and physical laws, and, as dynamic data, information indicating real-time external conditions (prices, economic conditions, etc.).

[0053] The functional configuration of the present system described above is merely an example. A single functional block (database and functional processing unit) may be divided, or multiple functional blocks may be combined into a single functional block. Each functional processing unit is implemented by a central processing unit (CPU) built into a device or terminal. The CPU reads a computer program (e.g., a core software or an application that causes the CPU to execute the various processes described above) stored in a storage device (storage means) such as a graphics processing unit (GPU), read-only memory (ROM), flash memory, solid-state drive (SSD), or hard disk, and the computer program is executed by the CPU. That is, each functional processing unit is implemented by the computer program reading and writing necessary data, such as tables, from a database (DB) stored in the storage device or a storage area in memory, and, in some cases, controlling related hardware (e.g., an input / output device, a display device, or a communication interface device). Furthermore, the database (DB) in the embodiments of the present invention may be a commercial database, but it also refers to a simple collection of tables and files, and the internal structure of the database itself is not important.

[0054] [Optimization process] Next, we will explain the optimization process executed by the optimization system 1. In the following process flow diagram (flowchart), the processing order of each step may be changed as long as the relationship between input and output of each step is not affected. FIG. 2 is a flowchart showing the optimization process executed by the optimization system according to the embodiment of the present invention.

[0055] In step S1, the purpose information acquisition means 10 acquires (receives) purpose information based on user operation on the user terminal 200 (for example, sending text information indicating a purpose or selecting one of multiple candidate purposes, etc.) and stores it in the storage means 100.

[0056] In step S2, the element information acquisition means 20 acquires (receives) element information based on user operation on the user terminal 200 (for example, sending text information indicating an element, or selecting one of multiple element candidates, etc.), and stores it in the storage means 100.

[0057] In step S3, the goal-related information acquisition means 30 acquires (receives) goal-related element information related to the goal indicated by the goal information acquired by the goal information acquisition means 10 in step S1 from the user terminal 200 or other external device, and stores it in the memory means 100.

[0058] In step S4, the integrated element generating means 40 integrates the multiple elements acquired by the element information acquiring means 20 in step S2 based on predetermined conditions to generate one integrated element, and stores it in the storage means 100.

[0059] In step S5, the planning means 50, for example, uses AI to formulate a plan that optimizes at least some of the multiple elements based on the objective information acquired by the objective information acquisition means 10 in step S1, the element information acquired by the element information acquisition means 20 in step S2, and the objective-related information acquired by the objective-related information acquisition means 30 in step S3, and stores the plan in the memory means 100.

[0060] In step S6, the providing means 60 provides (transmits, displays in a state visible to the user, etc.) to the user terminal 200 plan information indicating the plan formulated by the plan formulation means 50 in step S5.

[0061] According to such an optimization system 1, when optimizing a plan that includes multiple elements and is intended to achieve a specified objective, the plan is formulated so that at least some of the multiple elements are optimized based on objective information that indicates the objective, element information that indicates the elements, and objective-related information related to the objective. This makes it possible to comprehensively obtain the information necessary to formulate a plan to achieve a predetermined objective, thereby enabling the formulation of an appropriate plan that takes into account multiple factors.

[0062] Furthermore, the optimization system 1 acquires static data that does not change over a specified period of time and dynamic data that changes over a specified period of time as goal-related information, making it possible to formulate plans from a long-term perspective using the static data while optimizing the plans based on the ever-changing situation using the dynamic data. Therefore, it is possible to provide an optimization system that can formulate a plan that takes into account data on situations that change over time.

[0063] In addition, the optimization system 1 formulates plans using quantum-inspired algorithms. This makes it possible to acquire more information and speed up the process of formulating a plan from this information, thereby enabling a more appropriate plan to be formulated more quickly.

[0064] Furthermore, the optimization system 1 integrates a plurality of elements to generate one integrated element, and formulates a plan that optimizes this integrated element. This makes it possible, for example, to generate a single integrated element by prioritizing multiple elements, or to generate a single integrated element that balances multiple elements as a whole, thereby enabling the formulation of more appropriate plans.

[0065] Furthermore, according to the optimization system 1, processing is performed and plans are formulated in a manner that prevents confidential information acquired from users in a specific area from being leaked. This makes it possible to prevent confidential information obtained for formulating a more optimized plan from being leaked to the outside during the process of formulating the plan.

[0066] Although the embodiments of the present invention have been described above, it goes without saying that the technical scope of the present invention is not limited to the contents of the above embodiments. It will be apparent to those skilled in the art that various modifications and improvements can be made to the above embodiments. Furthermore, it is clear from the claims that such modifications and improvements are also included within the technical scope of the present invention. [Explanation of symbols]

[0067] 1. Optimization System 10 Purpose information acquisition means 20 Element information acquisition means 30 Means of obtaining purpose-related information 31 Means of obtaining confidential information 32 Means of obtaining public information 40 Integrated element generation means 50 Planning Tools 60 Means of provision 100 Memory means 200 user terminals

Claims

1. An optimization system that includes a plurality of elements and optimizes a plan to achieve a predetermined objective, a purpose information acquiring means for acquiring purpose information indicating the purpose; an element information acquisition means for acquiring element information indicating the element; a destination-related information acquisition means for acquiring destination-related information related to the destination; a planning unit that plans the plan in which at least some of the plurality of elements are optimized based on the objective information, the element information, and the objective-related information; The purpose-related information acquisition means includes, as the purpose-related information: Static data that remains unchanged for a given period of time; and acquiring changing dynamic data during the predetermined period.

2. 2. The optimization system according to claim 1, wherein the plan formulation means formulates the plan using a quantum-inspired algorithm.

3. further comprising an integrated element generating means for integrating a plurality of the elements to generate one integrated element; 3. The optimization system according to claim 1, wherein the plan formulation means formulates the plan in which the integrated elements are optimized.

4. The purpose-related information includes confidential information obtained from users in a specific area and public information that has been made public; 3. The optimization system according to claim 1, wherein the plan formulation means formulates the plan by performing processing in a state where the confidential information is not leaked to the outside.

5. 1. A method implemented by an optimization system that includes a plurality of elements and optimizes a plan to achieve a predetermined objective, comprising: acquiring purpose information indicating the purpose; obtaining element information indicating the element; obtaining goal-related information related to the goal; and formulating the plan based on the objective information, the element information, and the objective-related information, so that at least some of the elements are optimized; The purpose-related information includes: Static data that remains unchanged for a given period of time; and acquiring dynamic data that changes over the predetermined period.

6. An optimization system that includes multiple elements and optimizes a plan to achieve a predetermined objective, a purpose information acquiring means for acquiring purpose information indicating the purpose; an element information acquisition means for acquiring element information indicating the element; a destination-related information acquisition means for acquiring destination-related information related to the destination; a planning unit that formulates the plan in which at least some of the plurality of elements are optimized based on the objective information, the element information, and the objective-related information; The purpose-related information acquisition means includes, as the purpose-related information: Static data that remains unchanged for a given period of time; and acquiring dynamic data that changes during the predetermined period.

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