Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
New ideas in optimization
The Ant Colony Metaphor for Searching Continuous Design Spaces
Selected Papers from AISB Workshop on Evolutionary Computing
Ant Colony Optimization
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In this paper, we propose a new ant–based searching algorithm called AntSearch. We describe a process of stigmergy and diffusion of pheromone, leading to a degree of self–organization brought about through the independent actions and iterations of its individual agents. We use it in the construction in our continually evolving system, AntSearch. We discuss some of the issues raised and attempt to explain some of its success as well as account for its failings. We analyze the main characteristics of the algorithm and try to explain the influence of parameters value on the behavior of this system.