自然科学版 英文版
自然科学版 英文版
自然科学版 英文版

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中南大学学报(英文版)

Journal of Central South University

Vol. 13    No. 1    February 2006

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Hybrid optimization model of product concepts
XUE Li-hua(薛立华)1, LI Yong-hua(李永华)2

1. Key Laboratory for Precision and Non-traditional Machining of Ministry of Education,
Dalian University of Technology, Dalian 116023, China;
2. Institute of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, China

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.

 

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

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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