A multi-criteria based selection method using non-dominated sorting for genetic algorithm based design

Gunpinar, Erkan and Khan, Shahroz (2019) A multi-criteria based selection method using non-dominated sorting for genetic algorithm based design. Optimization and Engineering. ISSN 1389-4420

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    Abstract

    The paper presents a generative design approach, particularly for simulation-driven designs, using a genetic algorithm (GA), which is structured based on a novel offspring selection strategy. The proposed selection approach commences while enumerating the offsprings generated from the selected parents. Afterwards, a set of eminent offsprings is selected from the enumerated ones based on the following merit criteria: space-fillingness to generate as many distinct offsprings as possible, resemblance/non-resemblance of offsprings to the good/bad individuals, non-collapsingness to produce diverse simulation results and constrain-handling for the selection of offsprings satisfying design constraints. The selection problem itself is formulated as a multi-objective optimization problem. A greedy technique is employed based on non-dominated sorting, pruning, and selecting the representative solution. According to the experiments performed using three different application scenarios, namely simulation-driven product design, mechanical design and user-centred product design, the proposed selection technique outperforms the baseline GA selection techniques, such as tournament and ranking selections.

    ORCID iDs

    Gunpinar, Erkan and Khan, Shahroz ORCID logoORCID: https://orcid.org/0000-0003-0298-9089;
    • Item type:Article
      ID code:73483
      Dates:
      Date
      Event
      29 November 2019
      Published
      29 November 2019
      Published Online
      20 November 2019
      Accepted
      Keywords:computer-aided design (CAD), genetic algorithm (GA), multi-objective optimization, mating selection, Technology (General), Control and Optimization, Civil and Structural Engineering, Mechanical Engineering, Software, Electrical and Electronic Engineering, Aerospace Engineering
      Subjects:Technology > Technology (General)
      Department:Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering
      Depositing user: Pure Administrator
      Date deposited:06 Aug 2020 12:05
      Last modified:12 Feb 2021 04:08
      URI:https://strathprints.strath.ac.uk/id/eprint/73483
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