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- W4290040870 abstract "This paper presents a cumulative multi-niching genetic algorithm (CMN GA), designed to expedite optimization problems that have computationally-expensive multimodal objective functions. By never discarding individuals from the population, the CMN GA makes use of the information from every objective function evaluation as it explores the design space. A fitness-related population density control over the design space reduces unnecessary objective function evaluations. The algorithm's novel arrangement of genetic operations provides fast and robust convergence to multiple local optima. Benchmark tests alongside three other multi-niching algorithms show that the CMN GA has a greater convergence ability and provides an order-of-magnitude reduction in the number of objective function evaluations required to achieve a given level of convergence." @default.
- W4290040870 created "2022-08-06" @default.
- W4290040870 creator A5060383813 @default.
- W4290040870 date "2013-03-02" @default.
- W4290040870 modified "2023-09-29" @default.
- W4290040870 title "A Cumulative Multi-Niching Genetic Algorithm for Multimodal Function Optimization" @default.
- W4290040870 doi "https://doi.org/10.48550/arxiv.1304.0751" @default.
- W4290040870 hasPublicationYear "2013" @default.
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