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MLGSA: Multi-leader gravitational search algorithm for multi-objective optimization problem
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نویسنده
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ghazali m.r. ,abas k.h. ,muhammad b. ,aziz n.a.a. ,lim k.s.
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منبع
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journal of telecommunication, electronic and computer engineering - 2017 - دوره : 9 - شماره : 1-4 - صفحه:119 -123
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چکیده
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Recently,we have introduced multi-leader particle swarm optimization (mlpso) algorithm for multi-objective optimization problem. better convergence and diversity have been observed over the conventional multi-objective particle swarm optimization. in this paper,the same concept is extended to gravitational search algorithm (gsa). the performance was investigated by solving a set of zdt test problem. an analysis was also performed by varying the value of initial gravitational constant.
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کلیدواژه
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About Gravitational search algorithm; Multi-objective optimization
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آدرس
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faculty of electrical and electronics engineering,universiti malaysia pahang,pekan,pahang, Malaysia, faculty of electrical engineering,universiti teknologi malaysia,skudai,johor, Malaysia, faculty of electrical and electronics engineering,universiti malaysia pahang,pekan,pahang, Malaysia, faculty of engineering and technology,multimedia university,melaka, Malaysia, faculty of electrical engineering,universiti teknologi malaysia,skudai,johor, Malaysia
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Authors
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