41 results about "Pareto local search" patented technology

An information retrieval system and method employing spatially selective features. A geo-coded database stores advertiser records which include location information. Received search requests are matched with database records based on location information in the search requests and the record location information. In this manner, a user can search for information on a local basis and receive only the most relevant local search results.

A system may identify a first document associated with a geographic location within a geographical area and identify a second document associated with a geographic location outside the geographical area. The system may also assign a first score to the first document based on a first scoring function and assign a second score to the second document based on a second scoring function.

An implicit links enhancement system and method for search engines that generates implicit links obtained from mining user access logs to facilitate enhanced local searching of web sites and intranets. The implicit links search enhancement system and method includes extracting implicit links by mining users' access patterns and then using a modified link analysis algorithm to re-rank search results obtained from traditional search engines. More specifically, the implicit links search enhancement method includes extracting implicit links from a user access log, generating an implicit links graph from the extracted implicit links, and computing page rankings using the implicit links graph. The implicit links are extracted from the log using a two-item sequential pattern mining technique. Search results obtained from a search engine are re-ranked based on an implicit links analysis performed using an updated implicit links graph, a modified re-ranking formula, and at least one re-ranking technique.

Computer-implemented methods and systems for processing user entered query data to improve results of a search of pages using a local search database are provided, when searching the internet. The method includes receiving the user entered query data and parsing each word of the query data and examining each word to determine if the word is associated with one of a business name, a city name or a state name. The examining uses probabilistic dictionaries to determine a likelihood that the word is one of the business name, the city name or the state name. Then, associating the words that were determined to be: (i) the business name with a business name tag to create one or more tagged business terms; (ii) the city name with a city name tag to create one or more tagged city terms; and (iii) the state name with a state name tag to create one or more tagged state terms. The method further includes normalizing each of the tagged business terms, the tagged city terms and the tagged state terms. The normalizing includes boosting information if found in the local search database and determining proximity between selected ones of the tagged business, city or state terms. Then, generating an optimized internal search query that incorporates constraints and ranking based on at least the boosting information and the determined proximity between the selected tagged business, city or state terms. The optimized internal search query is applied to the internet to enable search results to be produced and displayed to the user in response to the entered query data.

A method for performing a local search includes receiving a local search request that includes at least a search term and a geographic identification. Business listings matching the received local search request are identified. The business listings are then ranked based on at least a webscore associated with each listing. Each listing's webscore is based on the listing's web popularity. In this manner, local search listings are ranked and presented in a more accurate manner.

The invention discloses an aircraft landing space distribution method based on a robustness distribution model. The method herein includes the following steps: firstly, designing a robustness aircraftparking distribution model that meets requirements of an actual airport on the basis of the survey on the distribution requirements of aircraft parking spaces in the airport, so that the model fullyconsiders the operation efficiency of the airport and the satisfaction level of passengers, and also meet the conditions of relevant restraints in distributing aircraft parking spaces; And then basedon the established robustness aircraft parking distribution model, using a two-stage Pareto local search method to distribute aircraft parking spaces, specifically in the first stage, generating an initial population that has excellent resolution by using weighted summation and local search algorithm; and in the second stage, conducting neighbor search on each resolution in the initial populationby using the Pareto local search method. The method can generate a group of Pareto optimal solutions that meet requirements of airport management workers, and provides multiple excellent resolution plans for airport scheduling workers to schedule flights.

Techniques are provided for generating query results in response to a query that specifies a location, the query results comprising business entities located around the location that are spatially relevant and socially and/or activity relevant to the query. Web data is crawled and processed using natural language techniques to derive activity information for business entities. Query results are also generated in response to a query that specifies a location and an itinerary, the query results providing possible itineraries at or near the specified location.

A system provides of data islands of a federated environment storing scalable data used to efficiently search for data and/or other objects across the federated environment and access details of any objects while minimizing the data replicated across all of the data islands. The scalable data may be replicated across all of the data islands and allow a local search for any object across the federated environment. The scalable data may be a subset of data and/or configured meta data that stores a limited subset of data that enables the local search, at each data island, for objects stored in the federated environment.

Identifying search results from a local and remote search of communications in parallel may be provided. In some examples, an application, such as a communication application, may facilitate an exchange of the communications with a server. A request may be received to perform a search within the exchanged communications. A connection to a server may be verified. A remote search request may be submitted within remotely stored communications based on the received request to the server. The local search may be initiated within locally stored communications. Search results may be displayed througha communication interface. The search results are based on the remote search request and the local search.

Methods and apparatus provide for a local search indexer to allow for an optimized search within a web server that returns accurate search results while maintaining independent control as to defining search patterns, search prioritization, and updated content available for search. Specifically, the local search indexer organizes content according to a hierarchical directory structure at a web server. The hierarchical directory structure includes at least one directory level that provides at least one directory for storing the content. The local search indexer builds a search index associated with the directory and stores the search index at the web server. The search index is populated with indexed content based on an update of the content stored in the directory. The local search indexer employs a search engine, at the web server, to process search queries against the indexed content to provide a search result that includes the update of the content.

The invention provides a flexible job shop scheduling method and system based on a hybrid evolutionary algorithm, and the method comprises the steps: constructing a multi-time-constrained flexible job shop scheduling model based on setting time and processing time, and setting constraint conditions; carrying out segmented integer coding and decoding operation on a machine selection part and a process arrangement part for workpiece processing; performing initialization processing on the population of the hybrid evolutionary algorithm to obtain a parent population; performing crossover operation and mutation operation on the parent population based on the neighborhood to obtain a first population, and performing local search on the parent population based on the neighborhood to obtain a second population; performing elite retention operation on the first population and the second population to obtain an elite population; and when the hybrid evolutionary algorithm meets an iteration termination condition, solving the flexible job shop scheduling model according to the elite population, and scheduling the flexible job shop. The scheduling problem is solved by adopting an intelligent algorithm, so that the workshop can be helped to find an optimal scheduling mode, and the production efficiency is effectively improved.

The invention relates to a large-scale contact list, which belongs to the technical field of contact lists. The respective contact information of clients is uploaded, all the provided information is stored in one or more servers, and the provided information can be downloaded by direct Web search or according to need and then searched locally when a client needs to be contacted. For the contacted party, the information of the other party is directly displayed on a communication device in the process of communication, so the telephone number does not need to be manually entered. Users only need to change respective information on the servers via client ends. In the large-scale contact list, exchanging contact information between people is changed into uploading or publishing respective contact information, and the contact information of all users can be completely or partially searched or published according to the permission of related rules or legal provisions. The large-scale contact list can be conveniently used by people, moreover, the inconvenience caused by the loss of contact lists can be prevented, the optimal contact methods of people in work can be enriched, people can better contact one another, and the living standard of people can be increased.

The invention discloses a vehicle-unmanned aerial vehicle multi-target cooperative path planning method. The method comprises the following steps: acquiring a set of all client points and the number of unmanned aerial vehicles; generating an initial population, a set PF and a probability parameter; starting iterative optimization: in each iteration, generating a filial generation population based on a genetic operator, and combining the filial generation population with a parent population; combining repeated solutions in the population by using a disturbance strategy; executing non-dominated sorting; updating the Pareto frontier, performing Pareto local search on the solution in the PF, and replacing the Pareto frontier with the searched PF; executing crowding degree calculation and a squeezing strategy; selecting a proper solution to enter a next generation population; carrying out iteration until a final Pareto front is returned; and sending the path planning scheme to the vehicle and the unmanned aerial vehicle. Experimental results prove that the method has performance superiority and parameter sensitivity. A method for searching an optimal compromise scheme is provided for decision making of logistics enterprises.

The invention discloses a cold standby reliability redundancy distribution method and system based on a swarm intelligence algorithm, and aims to solve the problem of RRAP cold standby reliability redundancy distribution so as to optimize the system reliability of a cold standby redundancy system. The cold standby RRAP is also a model of mixed integer optimization programming; and the problem is difficult to solve by using a traditional method. According to the invention, in the cold standby redundancy system, a new solution structure is adopted; the number of variables is reduced by half; thepreprocessing of each variable boundary is found to reduce the solution space; a new SSO updating mechanism is adopted to be combined with elite selection to balance utilization and exploration and new local search so as to improve newly discovered gBest and solve the cold standby RRAP; and the optimal or high-quality solution of the RRAP of the cold standby redundancy system is obtained, the solution quality, the solution feasibility and unused resources of the final optimal solution are greatly reduced, the cold standby redundancy of the server and the like is greatly reduced, and the server operation efficiency of the cold standby redundancy system is improved.

The invention provides a local search method for a handset, comprising the following steps: step a, loading a handset to a local browser and a local database, and prompting the user to input a retrieval word; step b, displaying a search result and listing a function list based on the retrieval word input by the user. The local search method for a handset provided by the present invention obtains all the function titles related to the keywords by searching the local database using the local browser and displays them in a display list of the browser. The user may choose to perform a corresponding function directly, so it greatly facilitates the user.