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An Analysis of the Search Performance of a Mini-Population Evolutionary Algorithm for a Robot-Locomotion Control Problem

Gregory R. Kramer, John C. Gallagher

发表年份
2005
引用次数
16

摘要

In this paper, the authors present a performance analysis of a mini-population evolutionary algorithm (EA) on a robot-locomotion control problem. The results indicate that the nature of the search space allows for the design of highly efficient search algorithms that could greatly outperform current hardware-amenable techniques. The authors additionally believe that these search characteristics may be inherent in many practical problems, making the results useful for the larger community.

关键词

Evolutionary algorithmComputer scienceRobotPopulationEvolutionary computationSearch algorithmControl (management)Artificial intelligenceMachine learningAlgorithm

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