An Improved Differential Evolution Heuristic for Nonlinear Programming Problems
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概要
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This paper proposes a versatile heuristic solution algorithm which can find good approximate solutions for nonlinear programming problems. It is known that Differential Evolution (DE), proposed by Storn et al., has two issues: one is that the algorithm has a tendency to fall into a local optimal solution, and the other is that the algorithm cannot be applied to nonlinear programming problems with constraints directly. In order to search widely with considering constraints, the proposed algorithm improves the movement of individuals and their evaluation function. The efficiency of the solution algorithm is shown by applying various types and scales of nonlinear programming problems.
- 日本知能情報ファジィ学会の論文
日本知能情報ファジィ学会 | 論文
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