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 effective 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