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.
Creators(s): |
Gunpinar, Erkan and Khan, Shahroz ![]() | Item type: | Article |
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ID code: | 73483 |
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: | 21 Jan 2021 12:13 |
URI: | https://strathprints.strath.ac.uk/id/eprint/73483 |
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