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• W2000319346 abstract "This study proposes a novel chaotic quantum behaved particle swarm optimization algorithm for solving nonlinear system of equations. Different chaotic maps are introduced to enhance the effectiveness and robustness of the algorithm. Several benchmark studies are carried out. Logistic map gives the best results and is utilized in solving nonlinear equation sets. Nine well known problems are solved with our algorithm and results are compared with Quantum Behaved Particle Swarm Optimization, Intelligent Tuned Harmony Search, Gravitational Search Algorithm and literature studies. Comparison results reveal that the proposed algorithm can cope with the highly non-linear problems and outperforms many algorithms which exist in the literature." @default.
• W2000319346 created "2016-06-24" @default.
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• W2000319346 date "2014-08-01" @default.
• W2000319346 modified "2023-10-18" @default.
• W2000319346 title "Chaotic quantum behaved particle swarm optimization algorithm for solving nonlinear system of equations" @default.
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• W2000319346 doi "https://doi.org/10.1016/j.camwa.2014.06.013" @default.
• W2000319346 hasPublicationYear "2014" @default.
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