基于适应值模糊灰模型的交互式进化计算

Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-17 Cooperative journals: 《计算机应用研究》

郭广颂 文振华 何琳琳 郝国生

Abstract： Aiming at solving uncertainty problem of interactive evolutionary computation, this paper studied the fitness prediction method. In order to more effectively reduce noise influence on fitness, this paper put forward a fuzzy fitness prediction method based on fuzzy grey model FGM(1, 1) with precise number fitness. First of all, It determined the relationship between noise intensity and fitness function and proposed noise intensity index. Then, It proposed a linear programming with fuzzy fitness set width under the restriction of noise intensity minimum, which is used to calculate fuzzy fitness prediction parameters. Finally, the time response sequence of fuzzy grey model output fuzzy fitness. NSGA –II realized the evolutionary computation which have a new comparison method of individual sequence and their congestion measure calculation formula. The proposed method was applied to baked lacquer door design problem and compared with existing typical methods. The experimental results confirmend that the proposed algorithm has advantages in improving optimization quality and alleviating user fatigue while improving its efficiency in exploration.

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