A novel hybrid water wave optimization algorithm for solving complex constrained engineering problems


Gurses D., Pholdee N., Bureerat S., Sait S. M. , YILDIZ A. R.

MATERIALS TESTING, vol.63, no.6, pp.560-564, 2021 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 63 Issue: 6
  • Publication Date: 2021
  • Doi Number: 10.1515/mt-2020-0093
  • Journal Name: MATERIALS TESTING
  • Journal Indexes: Science Citation Index Expanded, Scopus
  • Page Numbers: pp.560-564
  • Keywords: Water wave optimization algorithm, Nelder-mead, manufacturing, design, milling, SALP SWARM ALGORITHM, SLIME-MOLD ALGORITHM, DESIGN OPTIMIZATION, PARAMETER OPTIMIZATION, STRUCTURAL OPTIMIZATION, MILLING OPERATIONS, GENETIC ALGORITHM, OPTIMUM DESIGN, ROBUST DESIGN, CRASHWORTHINESS

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.