抄録
This paper deals with Evolutionary Algorithms that have been researched to solve multi-peak problem's global optimal solution. These algorithms have problem to require a large amount of computational cost to solve the optimal solution steadily. Authors developed new method that is Adaptive Plan system with Genetic Algorithm (APGA) for the solution of various multi-peak problems. This is a combination method of global search ability of GA and the Adaptive Plan with excellent local search ability. In this paper, the neighborhood range control is introduced into the APGA. This is changed neighborhood range to fit by each individual's situation. Benchmark functions examines to APGA. The performance of APGA is discussed.
