Modified Particle Swarm Optimization using Nonlinear Decreased Inertia Weight

Modified Particle Swarm Optimization using Nonlinear Decreased Inertia Weight

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Particle Swarm Optimization (PSO) has demonstrated great performance in various optimization problems. However, PSO has weaknesses, namely premature convergence and easy to get stuck or fall into local optima for complex multimodal problems. One of the causes of these weaknesses is unbalance between...

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Bibliographic Details
Main Authors:	Alrijadjis ., Shenglin Mu, Shota Nakashima, Kanya Tanaka
Format:	Article
Language:	English
Published:	Politeknik Elektronika Negeri Surabaya 2016-04-01
Series:	Emitter: International Journal of Engineering Technology
Online Access:	http://emitter.pens.ac.id/index.php/emitter/article/view/42

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