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Agent-based guided local search
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DOI：10.1016/j.eswa.2012.03.074.png)
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摘要
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The main contribution of the paper is to propose and validate a new hybrid approach for solving combinatorial optimization problems in which guided local search metaheuristic is incorporated into a cooperative multi-agent framework based on the concept of asynchronous teams (A-Teams). Generally, an A-Team assumes that a collection of software agents, each representing a particular problem solving method, cooperate to solve a problem by dynamically evolving a population of solutions. In the suggested implementation each software agent carries out a guided local search. The proposed approach has been extensively validated experimentally on one of the best known combinatorial optimization problem - the vehicle routing problem. The promising results of experiments have confirmed the effectiveness of the suggested approach. (C) 2012 Elsevier Ltd. All rights reserved.
Keyword:
Guided local search
Cooperative multi-agent systems
Asynchronous team
Vehicle routing problem
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IF:
7.5
论文数:
3.0W
被引数:
10.2W
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