Hybrid optimization model of product concepts

来源期刊：中南大学学报(英文版)2006年第1期

论文作者：薛立华 李永华

文章页码：105 - 109

Key words：conceptual design; morphological matrix; genetic algorithm; neural network; hybrid optimization model

Abstract: Deficiencies of applying the simple genetic algorithm to generate concepts were specified. Based on analyzing conceptual design and the morphological matrix of an excavator, the hybrid optimization model of generating its concepts was proposed, viz. an improved adaptive genetic algorithm was applied to explore the excavator concepts in the searching space of conceptual design, and a neural network was used to evaluate the fitness of the population. The optimization of generating concepts was finished through the“evolution evaluation”iteration. The results show that by using the hybrid optimization model, not only the fitness evaluation and constraint conditions are well processed, but also the search precision and convergence speed of the optimization process are greatly improved. An example is presented to demonstrate the advantages of the proposed method and associated algorithms.