Title: An Evolutionary Programming Based on Cultural Algorithm for Solving Constrained Optimization Problems
Abstract: Embedding evolutionary programming into self-adaptive cultural algorithm,an evolutionary programming based on adaptive cultural algorithm(CAEP) is proposed to solve constrained optimization problems.The knowledge extracted during evolution guide the evolution of population-space based on evolutionary programming.The design of belief-space for constrained optimization is described in detail.Simulation tests are performed based on benchmark functions and the production scheduling problem of butene alkylation.The results indicate that the algorithm proposed is more general and effective.It reduces computational cost.
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
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Cited By Count: 1
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