Stigmergic Optimization: Inspiration, Technologies and Perspectives
نویسندگان
چکیده
This Chapter summarizes some of the well known stigmergic computational techniques inspired by nature, mainly for optimization problems developed by mimicking social insects’ behavior. Some facts about social insects namely ants, bees and termites are presented with an emphasis on how they could interact and self organize for solving real world problems. We focused on ant colony optimization algorithm, bees behavior inspired algorithms, particle swarm optimization algorithm and bacterial foraging algorithm.
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