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Yavuz Gunalay
Julian Scott Yeomans

Author(s) and WSEAS

Yavuz Gunalay
Julian Scott Yeomans

WSEAS Transactions on Computers

Print ISSN: 1109-2750
E-ISSN: 2224-2872

Volume 18, 2019

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

Multicriteria Generation of Alternatives for Engineering Optimization Problems using Population-based Metaheuristics: A Computational Test

AUTHORS: Yavuz Gunalay, Julian Scott Yeomans

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ABSTRACT: Engineering optimization problems can be dominated by inconsistent performance requirements and incompatible specifications that can be difficult to detect when supporting mathematical programming models are formulated. Thus, it often proves advantageous to construct a set of options that provide dissimilar approaches to such problems. These alternatives should satisfy the required performance criteria, but be maximally different from each other in their decision spaces. The method for constructing maximally different sets of solutions is referred to as modelling-to-generate-alternatives (MGA). This paper considers a multicriteria method that can generate sets of maximally different alternatives using any population-based solution algorithm. This MGA approach is both computationally efficient and simultaneously produces the prescribed number of maximally different solution alternatives in a single computational run of the procedure. The computational efficacy of this multicriteria MGA approach is demonstrated on two commonly-tested engineering optimization problems using the population-based Firefly Algorithm metaheuristic.

KEYWORDS: Multicriteria Objectives, Modelling-to-generate-alternatives, Population-based algorithms, Firefly Algorithm


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WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2872, Volume 18, 2019, Art. #31, pp. 239-247

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