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APSO method for optimizing geographically distributed time-cost

A distributed, time-based technology, applied in the direction of model-driven code, creation/generation of source code, etc., can solve the problem of less optimization of project time-cost, and achieve the effect of accurate data basis

Inactive Publication Date: 2018-09-25
NORTHWESTERN POLYTECHNICAL UNIV +2
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Problems solved by technology

At present, there are relatively few studies on project time-cost optimization using adaptive particle swarm optimization

Method used

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  • APSO method for optimizing geographically distributed time-cost
  • APSO method for optimizing geographically distributed time-cost
  • APSO method for optimizing geographically distributed time-cost

Examples

Experimental program
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Embodiment Construction

[0025] Time-cost model establishment:

[0026] figure 1 The relationship between development time and direct cost, where t N Indicates the normal duration of the process, C N is the direct cost corresponding to the normal duration, t c Indicates the emergency duration of the process, which is also the shortest limit time, C c It is the direct cost corresponding to the emergency duration, and it is also the highest cost used under the earliest construction period.

[0027] Build a mathematical model:

[0028] according to figure 1 A linear time-cost mathematical model and a parabolic time-cost mathematical model are respectively established.

[0029] figure 2 Among them, k is the linear coefficient, d is the compression time, a is the parabolic coefficient, C ij (d ij ) is the cost of process (i, j), C(d ij ) is the total direct cost, T(d ij ) is the total duration of the project.

[0030] Establishment of time-cost constraint programming model:

[0031] In the mo...

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Abstract

Provided is an APSO method for optimizing geographically distributed time-cost. According to the relation of geographically distributed development time and cost, a time-cost model is established, constraint planning processing is performed, constraint processing is further performed by combining with an APSO algorithm and using a penalty function method, and it is verified that an APSO can optimize the geographically distributed time-cost through a simulation experiment. In addition, different project time-cost optimization schemes can be obtained according to different established models, and an accurate and reliable data basis is provided for formulation of project planning.

Description

technical field [0001] The invention belongs to the technical field of remote distributed software development and relates to time-cost optimization, in particular to an APSO method for remote distributed time-cost optimization. Background technique [0002] For a successful project it has three important factors, first the project must meet customer requirements, second it must be within budget, and third it must be on time. These three factors are known as the Iron Triangle. According to the research of the Audio-Technica by many scholars, it is concluded that time, cost and quality are important indicators to measure the success of a project. So far, the time-cost trade-off problem is an important issue of extensive research. Modern research on time-cost includes evolutionary methods and heuristic algorithms. Time-cost trade-offs for multi-objective optimization engineering projects using evolutionary methods such as differential evolution algorithms. However, the dif...

Claims

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Application Information

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IPC IPC(8): G06F8/30
CPCG06F8/35
Inventor 殷茗邓国林蒋丹成丽媛王文杰党敏玲
Owner NORTHWESTERN POLYTECHNICAL UNIV
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