This algorithm has been applied in various applications e.g. data clustering, neural networks learning, nonlinear function optimization, etc. Several problems ...
The experimental results show that the performance of the proposed method outperforms that of other algorithms in this domain, and also were compared with ...
Nov 3, 2016 · Artificial fish swarm algorithm is one of the swarm intelligence algorithms which performs based on population and stochastic search ...
Abstract— Artificial fish swarm algorithm is one of the swarm intelligence algorithms which performs based on population and stochastic search contributed ...
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May 12, 2022 · Abstract The Artificial Fish Swarm Algorithm (AFSA) is inspired by the ecological behaviors of fish schooling in nature, viz., the preying, ...
The proposed algorithm can quickly find the peaks in the problem space and track them after an environment change. In this algorithm, artificial fish swarms are ...
[PDF] A review of artificial fish swarm algorithms - Semantic Scholar
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A new artificial fish swarm algorithm for dynamic optimization problems · Computer Science, Engineering. IEEE Congress on Evolutionary Computation · 2012.
In this context, this study proposes an artificial fish swarm optimization algorithm for the efficient solution of the UTRP, presenting a novel discrete-space ...
Nov 11, 2020 · In addition, hybrid, multi-objective and dynamic AFSA models that have been proposed to solve continuous optimization problems are elucidated.
Since its introduction in 2002, many improved and hybrid AFSA models have been developed to tackle continuous, binary, and combinatorial optimization problems.