Function optimization analysis based on fish swarm algorithm
2018-05-16
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In fish activities, foraging behavior, clustering behavior, tail chasing behavior and random behavior are closely related to our optimization function problem. How to use a simple and effective way to construct and realize these behaviors will be the main problem faced by the swarm algorithm. Foraging behavior is a kind of behavior of fish swimming in the direction of more food, and in the process of optimization, it is moving towards the better direction. In order to survive and avoid harm, fish will naturally gather in groups. There are three rules for fish aggregation: (1) separation rule to avoid overcrowding with nearby partners; (2) alignment rule to be consistent with the average direction of nearby partners; (3) cohesion rule to move towards the center of nearby partners. Tail chasing is a kind of behavior of chasing the nearest most active person. In the optimization algorithm, it can be understood as the process of advancing to the nearest optimal partner.
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