An integrated computational intelligence approach to product concept generation and evaluation

Hong Zhong Huang*, Ruifeng Bo, Wei Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

59 Scopus citations


Product concept generation and evaluation are two major activities for obtaining an optimal concept in conceptual design. In this paper, an integrated computational intelligence approach is proposed for dealing with these two aspects. A group of satisfactory concepts are generated first by using genetic algorithm and incorporating the information from knowledge base. Then concept evaluation and decision making are implemented using fuzzy neural network to obtain an optimal concept. Our procedure of using computational intelligence in conceptual design is described. The key issues in implementing the proposed approach are discussed, and finally the applicability of the proposed method is illustrated with an engineering example.

Original languageEnglish (US)
Pages (from-to)567-583
Number of pages17
JournalMechanism and Machine Theory
Issue number5
StatePublished - May 2006


  • Computational intelligence
  • Conceptual design
  • Fuzzy neural network
  • Genetic algorithm
  • Optimal concept

ASJC Scopus subject areas

  • Bioengineering
  • Mechanics of Materials
  • Mechanical Engineering
  • Computer Science Applications


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