Concept-based evolutionary exploration of design spaces by a resolution-relaxation-pareto approach

Amiram Moshaiov, Alon Snir, Barak Samina

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The set-based concept approach is suggested as a means to simultaneously explore different design spaces at both the conceptual and the particular design levels. The proposed technique employs dynamic relaxation of concept-based Paretooptimality. Two types of exploration problems are defined. The first type aims to reveal the approximated concepts' fronts, within a relaxation zone, whereas the second type is about which of the concepts' front intersect with that zone. A unique benchmarking approach and measures are employed to test the suggested algorithm with respect to the aforementioned types of problems. The numerical study shows that the algorithm can cope with various numerical difficulties in a simultaneous way. The use of exploration tools, such as proposed here, is expected to enhance the understanding of conceptual design spaces by both experienced and novice designers.

Original languageEnglish
Title of host publication2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1845-1852
Number of pages8
ISBN (Electronic)9781479974924
DOIs
StatePublished - 10 Sep 2015
EventIEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan
Duration: 25 May 201528 May 2015

Publication series

Name2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings

Conference

ConferenceIEEE Congress on Evolutionary Computation, CEC 2015
Country/TerritoryJapan
CitySendai
Period25/05/1528/05/15

Keywords

  • Benchmark
  • computer-supported design
  • conceptual design
  • design space exploration
  • evolutionary multi-objective optimization
  • set-based concept

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