Multiobjective optimization by Artificial Fish Swarm Algorithm

Artificial Fish Swarm Algorithm (AFSA) is a kind of swarm intelligence algorithm, which has the features of fast convergence, good global search capability, strong robustness and so on. In this paper, an approach using AFSA to solve the multiobjective optimization problem is proposed. In this algori...

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Veröffentlicht in:	2011 IEEE International Conference on Computer Science and Automation Engineering Jg. 3; S. 506 - 511
Hauptverfasser:	Mingyan Jiang, Kongcun Zhu
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2011
Schlagworte:	AFSA Approximation algorithms Educational institutions Genetic algorithms global information Information science Marine animals multiobjective optimization Optimization Pareto dominance Particle swarm optimization
ISBN:	9781424487271, 1424487277
Online-Zugang:	Volltext
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