Design of a decentralized framework for collaborative product design using memetic algorithms

Fan Li, Teresa Wu, Mengqi Hu

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


This paper proposes a generalized bi-level decentralized framework to model collaborative design problems over autonomous stakeholders with each having different objectives. At the system level, a system solution derived from the Pareto concept is created. A facilitator agent is introduced to search for Pareto optimal solutions based on a Memetic Algorithm (MA). At the design disciplinary level, design agents representing design teams are introduced to optimize their own objectives. The proposed framework will guide the collaborative designers to converge to Pareto optimal solutions given any forms of design utility functions. The only information exchanged between the two levels is numerical values instead of utility functions. Therefore sensitive (private) design information can be protected. Three comparison experiments are conducted to evaluate the solution quality and explore the applicability of the proposed framework to collaborative design problems.

Original languageEnglish (US)
Pages (from-to)657-676
Number of pages20
JournalOptimization and Engineering
Issue number3
StatePublished - Sep 30 2014


  • Collaborative product development
  • Memetic algorithm
  • Multi-objective optimization
  • Pareto optimality

ASJC Scopus subject areas

  • Software
  • Civil and Structural Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Electrical and Electronic Engineering


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