Journal
MATERIALS TESTING
Volume 63, Issue 5, Pages 448-452Publisher
WALTER DE GRUYTER GMBH
DOI: 10.1515/mt-2020-0076
Keywords
Design optimization; arithmetic optimization algorithm; slime mould optimization algorithm; marine predators algorithm; salp swarm algorithm
Funding
- Bursa Uludag University, Bursa, Dhahran
- Kaen University, Khon Kaen
- King Fahd University of Petroleum Minerals
- Pandit Deendayal Petroleum University, Gandhinagar
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This paper focuses on a comparison of recent algorithms in structural engineering design problems, and the results show that the new hybrid slime mold algorithm-simulated annealing algorithm (HSMA-SA) provides better results in shape optimization.
This paper focuses on a comparision of recent algorithms such as the arithmetic optimization algorithm, the slime mold optimization algorithm, the marine predators algorithm, and the salp swarm algorithm. The slime mold algorithm (SMA) is a recent optimization algorithm. In order to strengthen its exploitation and exploration abilities, in this paper, a new hybrid slime mold algorithm-simulated annealing algorithm (HSMA-SA) has been applied to structural engineering design problems. As a result of the rules and practices that have become mandatory for fuel emissions by international organizations and governments, there is increasing interest in the design of vehicles with minimized fuel emissions. Many scientific studies have been conducted on the use of metaheuristic methods for the optimum design of vehicle components, especially for reducing vehicle weight. With the inspiration obtained from the above-mentioned methods, the HSMA-SA has been studied to solve the shape optimization of a design case to prove how the HSMA-SA can be used to solve shape optimization problems. The HSMA-SA provides better results as an arithmetic optimization algorithm than the slime mold optimization algorithm, the marine predators algorithm, and the salp swarm algorithm.
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