A novel hybrid water wave optimization algorithm for solving complex constrained engineering problems
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Date
2021-06-01
Journal Title
Journal ISSN
Volume Title
Publisher
Walter de Gruyter
Abstract
In this work, a new hybrid optimization algorithm (HWW-NM), which combines the Nelder-Mead local search algorithm with the water wave algorithm, is introduced to solve real-world engineering optimization problems. This paper is one of the first studies in which both the water wave algorithm and the HWWNM are applied to processing parameters optimization for manufacturing processes. HWW-NM performance is measured using the cantilever beam problem. Additionally, a problem for milling manufacturing optimization is posed and solved to evaluate HWW-NM performance in real-world applications. The results reveal that HWW-NM is an attractive optimization approach for optimizing real-life problems.
Description
Keywords
Constrained optimization, Manufacture, Water waves, Algorithm for solving, Engineering problems, Hybrid optimization algorithm, Local search algorithm, Nelder meads, Optimization algorithms, Performance, Real-world, Water wave optimization algorithm, Wave algorithms, Manufacturing, Design, Milling, Cuckoo search algorithm, Salp swarm algorithm, Design optimization, Structural optimization, Parameter optimization, Milling operations, Genetic algorithm, Optimum design, Robust design, Crashworthiness, Materials science
Citation
Dildar, G. vd. (2021). "A novel hybrid water wave optimization algorithm for solving complex constrained engineering problems". Materialpruefung/Materials Testing, 63(6), 560-564.