A Multi-objective Gravitational Search Algorithm

Recently there has been a great research conducted on diverse variations of multi-objective swarm optimization algorithms each of which might have its own strengths and weaknesses. Due to the high complexity of multi-objective problems the efficiency of these methods has become a matter of concern....

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Veröffentlicht in:	2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks S. 7 - 12
Hauptverfasser:	Hassanzadeh, Hamid Reza, Rouhani, Modjtaba
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.07.2010
Schlagworte:	Codes Extraterrestrial measurements Genetic algorithms Gravity Indexes Indirect Niching Linear programming Metaheuristics Multi-objective Gravitational Search Algorithm (MOGSA) Multi-objective Particle Swarm Optimization (MOPSO) Pareto Optimality Particle swarm optimization Search problems Vectors
ISBN:	1424478375, 9781424478378
Online-Zugang:	Volltext
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