September 2018
Intermediate to advanced
228 pages
6h 54m
English
Content preview from Swarm Intelligence
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3 Artificial Fish Swarm
3.1 Fish swarm optimization
3.1.1 Biological base
Artificial fish swarm algorithm (AFSA) is a population-based evolutionary computing
(EC) technique that is inspired by the social behavior of fish schooling and swarm intelli-
gence (SI). AFSA, with its artificial fish (AF) concept, was proposed by Dr. Li Xiao-Lei
in 2002 [1]. AF adopts information by sense organs and performs stimulant reaction by
controlling the tail and fin. The AFSA is a robust stochastic technique in solving opti-
mization problems based on the movement and intelligence of swarms in the food-finding
process. Swarms have much explorative capability and noncentralized decision making.
The three main principles developed in AFSA are the fish behaviors in food searching, ...
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