Enhanced optimization with composite objectives and novelty pulsation

作者: Hormoz Shahrzad , Babak Hodjat , Risto Miikkulainen

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摘要: The computer system and method herein uses a multi-objective driven evolutionary algorithm that is better able to find optimum solutions to a problem because it balances the use of objectives as composite functions, and relative novelty and diversity in evolutionary optimization. In particular, the system and method herein described herein presents an improved process which introduces novelty pulsation, ie, a systematic method to alternate between novelty selection and local optimization.

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