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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| Vydané v: | 2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks s. 7 - 12 |
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| Hlavní autori: | , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
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IEEE
01.07.2010
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| ISBN: | 1424478375, 9781424478378 |
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| Abstract | 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. In this paper a new multi-objective meta-heuristic algorithm based on gravitational forces is proposed and applied to different test benches. The acquired results proved the superiority of the algorithm comparing with other pioneering techniques such as the MOPSO |
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| AbstractList | 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. In this paper a new multi-objective meta-heuristic algorithm based on gravitational forces is proposed and applied to different test benches. The acquired results proved the superiority of the algorithm comparing with other pioneering techniques such as the MOPSO |
| Author | Hassanzadeh, Hamid Reza Rouhani, Modjtaba |
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| Snippet | Recently there has been a great research conducted on diverse variations of multi-objective swarm optimization algorithms each of which might have its own... |
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| SubjectTerms | 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 |
| Title | A Multi-objective Gravitational Search Algorithm |
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