Description: As an emerging intelligent optimization algorithms search algorithm, generally refers to the use of natural biological systems and the optimization process some similarities and gradually developed optimization algorithms, such as genetic algorithms, particle swarm optimization, ant colony algorithm, which searches through space of solutions according to the probability of a rule action to get the next set of solutions. AFSA stems from the behavior of fish movement, is a new type of intelligent bionic optimization algorithm. It has strong robustness, excellent distributed computer system, easy to combine with other methods, etc.. At present the algorithm research, application has penetrated into multiple applications, by solving one-dimensional static optimization problem developed to solve multidimensional dynamic combinatorial optimization problems.
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