Improved Grey Wolf Optimization Algorithm for Constrained Mechanical Design Problems
2016 ◽
Vol 851
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pp. 553-558
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An improved grey wolf optimization (IGWO) algorithm is proposed for solving constrained mechanical design problems in this paper. In proposed IGWO algorithm, a novel nonlinearly update equation of convergence factor based on sines function is presented to balance the exploration ability and exploitation ability. The feasibility-based rules based on tournament selection was introduced to handle constrains. Simulation results and comparisons with other state-of-the-art algorithms using three constrained mechanical design problems are provided.
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2020 ◽
Vol 994
◽
pp. 012011
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Grey Wolf Optimization algorithm with Discrete Hopfield Neural Network for 3 Satisfiability analysis
2021 ◽
Vol 1821
(1)
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pp. 012038
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2018 ◽
Vol 11
(8)
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pp. 11-24
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