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A proposal of a new local improvement mechanism for genetic algorithm and a creative thinking support

The genetic algorithm (GA) is one of the basic models of evolution and is one of the eifective tools for constructing evolvable/adaptive complex systems. This paper presents a new local improvement mechanism for the GA which is very efficient in local improvement. This paper describes a creative thinking support using the proposed method. The evolution of the arm morphology and the throwing motion for throwing a ball under limited link torques is simulated.