4.4 Article

Comparision of the political optimization algorithm, the Archimedes optimization algorithm and the Levy flight algorithm for design optimization in industry

Journal

MATERIALS TESTING
Volume 63, Issue 4, Pages 356-359

Publisher

WALTER DE GRUYTER GMBH
DOI: 10.1515/mt-2020-0053

Keywords

Political optimization algorithm; Archimedes optimization algorithm; Levy flight algorithm; Optimum design; Vehicle design; Shape optimization

Funding

  1. Bursa Uludag University, Bursa
  2. Kaen University, Khon Kaen
  3. King Fahd University of Petroleum & Minerals, Dhahran

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This article discusses the use of political optimization algorithm (POA), Archimedes' optimization algorithm (AOA), and Levy flight algorithm (LFA) to minimize product costs in product development processes, with a focus on size, shape, and topology optimization methods. The study shows the superiority of POA in optimizing vehicle structures and aims to provide assistance to industrial companies in improving their product design stages.
This article focuses on minimizing product costs by using the newly developed political optimization algorithm (POA), the Archimedes 'optimization algorithm (AOA), and the Levy flight algorithm (LFA) in product development processes. Three structural optimization methods, size optimization, shape optimization, and topology optimization, are extensively applied to create inexpensive structures and render designs efficient. Using size, shape, and topology optimization in an integrated way, It is possible to obtain the most efficient structures in industry. The political optimization algorithm (POA) is a metaheuristic algorithm that can be used to solve many optimization problems. This study investigates the search capability and computational efficiency of POA for optimizing vehicle structures. By examining the results obtained, we prove the apparent superiority of the POA to other recent famous metaheuristics such as the Archimedes optimization algorithm and the Levy flight algorithm. The most important result of this paperwill be to provide an impressive aid for industrial companies to fill the gaps in their product design stages.

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