A novel multi-objective optimization method with local search scheme using shuffled complex evolution applied to mechanical engineering problems
ISSN: 0264-4401
Article publication date: 18 August 2022
Issue publication date: 23 August 2022
Abstract
Purpose
In this work, the multi-objective optimization shuffled complex evolution is proposed. The algorithm is based on the extension of shuffled complex evolution, by incorporating two classical operators into the original algorithm: the rank ordering and crowding distance. In order to accelerate the convergence process, a Local Search strategy based on the generation of potential candidates by using Latin Hypercube method is also proposed.
Design/methodology/approach
The multi-objective optimization shuffled complex evolution is used to accelerate the convergence process and to reduce the number of objective function evaluations.
Findings
In general, the proposed methodology was able to solve a classical mechanical engineering problem with different characteristics. From a statistical point of view, we demonstrated that differences may exist between the proposed methodology and other evolutionary strategies concerning two different metrics (convergence and diversity), for a class of benchmark functions (ZDT functions).
Originality/value
The development of a new numerical method to solve multi-objective optimization problems is the major contribution.
Keywords
Acknowledgements
The authors would like to acknowledge financial and technical support from CNPq.
Funding: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001.
Conflict of interest: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be constructed as a potential conflict of interest. The authors have no affiliation with any organization with a direct or indirect financial interest in the subject matter discussed in the manuscript.
Citation
Lobato, F.S., Libotte, G.B. and Platt, G.M. (2022), "A novel multi-objective optimization method with local search scheme using shuffled complex evolution applied to mechanical engineering problems", Engineering Computations, Vol. 39 No. 8, pp. 2958-2989. https://doi.org/10.1108/EC-07-2021-0381
Publisher
:Emerald Publishing Limited
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