A multi-objective particle swarm optimization algorithm based on dynamic boundary search for constrained optimization
Due to increased search complexity in multi-objective optimization, premature convergence becomes a problem. Complex engineering problems poses high number of variables with many constraints. Hence, more difficult benchmark problems must be utilized to validate new algorithms performance. A well-kno...
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| Format: | Article |
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Elsevier
2018
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