抄録
At present, Evolutionary Algorithms that Genetic Algorithm represents are widely applicable to the optimization problem of the various engineering fields. Then, the effectiveness is reported. Authors already applied to the topology optimization of structure problem and reported the effectiveness of it too. But, Evolutionary Algorithms require a large amount of computational cost to obtain the optimal solution steadily. In this paper, Authors developed new method, Adaptive Plan system with Genetic Algorithm (APGA) for solving this cost. This is synthesis method of global search ability of GA and the Adaptive Plan with excellent local search ability. The Adaptive Plan is defined a numerical algorithm or an experiential method. The standard test functions examines to APGA, through number of design variable. A performance of APGA is discussed.
