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- W2007351764 abstract "This paper introduces the notion of using co-evolution to adapt the penalty factors of a fitness function incorporated in a genetic algorithm (GA) for numerical optimization. The proposed approach produces solutions even better than those previously reported in the literature for other (GA-based and mathematical programming) techniques that have been particularly fine-tuned using a normally lengthy trial and error process to solve a certain problem or set of problems. The present technique is also easy to implement and suitable for parallelization, which is a necessary further step to improve its current performance." @default.
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- W2007351764 date "2000-03-01" @default.
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- W2007351764 title "Use of a self-adaptive penalty approach for engineering optimization problems" @default.
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- W2007351764 doi "https://doi.org/10.1016/s0166-3615(99)00046-9" @default.
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