关键词: 多目标规化 遗传算法 小生境 改进快速自适应

Abstract:

This paper discusses MOGA＇s existing deficiencies,and offers a method to update the next population based on the niche technology. During the genetic iterative process, this paper adopts the corresponding improvement strategies which include expectations, the elite reservation hybrid strategy, and th e improved fast adaptive crossover and mutation operator. Finally we use the improved GA to study the multi-object case. Simulation experiments show tha t NGA can effectively resolve the convergence of the multi-objective optimization problem.

Key words: multiobjective optimization, genetic algorithm, niche, improved fast adaptive technology