Sensitive Stigmergic Agent Systems - A Hybrid Approach to Combinatorial Optimization - Springer
Francis Tseng
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Systems composed of several interacting autonomous agents have a huge potential to efficiently address complex real-world problems. Agents communicate by directly exchanging information and knowledge about the environment. To cope with complex combinatorial problems, agents of the proposed model are endowed with stigmergic behaviour.

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