Seagull optimization algorithm for solving real-world design optimization problems
Authors:
- Natee PanagantNatee Panagant
- Khon KaenKKKhon Kaen
- 1 June 2020
- journal article
- research article
- Published by Walter de Gruyter GmbH in Materials Testing
- Vol. 62 (6) , 640-644
Abstract
In this research paper, a new surrogate-assisted metaheuristic for shape optimization is proposed. A seagull optimization algorithm (SOA) is used to solve the shape optimization of a vehicle bracket. The design problem is to find structural shape while minimizing structural mass and meeting a stress constraint. Function evaluations are carried out using finite element analysis and estimated by using a Kriging model. The results show that SOA has outstanding features just as the whale optimization algorithm and salp swarm optimization algorithm for designing optimal components in the industry.Keywords
This publication has 61 references indexed in Scilit:
- A new hybrid artificial bee colony algorithm for robust optimal design and manufacturingApplied Soft Computing, 2013
- A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operationsApplied Soft Computing, 2013
- A comparative study of population-based optimization algorithms for turning operationsInformation Sciences, 2012
- Multi-objective topology optimization using evolutionary algorithmsEngineering Optimization, 2011
- Topology Synthesis of Multicomponent Structural Assemblies in Continuum DomainsJournal of Mechanical Design, 2011
- Optimal shape design of a brake calliper for squeal noise reduction considering system instabilityProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2010
- Hybrid immune-simulated annealing algorithm for optimal design and manufacturingInternational Journal of Materials and Product Technology, 2009
- Hybrid approach for genetic algorithm and Taguchi's method based design optimization in the automotive industryInternational Journal of Production Research, 2006
- Multidisciplinary optimization of an automotive door with a tailored blankProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2006
- Genetic algorithms in computer aided designComputer-Aided Design, 2003