articleComputers & Operations ResearchOct 23, 2014HYBRID OA

Water wave optimization: A new nature-inspired metaheuristic

YZYu‐Jun Zheng

Zhejiang University of Technology

Indexed incrossref

Abstract

Nature-inspired computing has been a hot topic in scientific and engineering fields in recent years. Inspired by the shallow water wave theory, the paper presents a novel metaheuristic method, named water wave optimization (WWO), for global optimization problems. We show how the beautiful phenomena of water waves, such as propagation, refraction, and breaking, can be used to derive effective mechanisms for searching in a high-dimensional solution space. In general, the algorithmic framework of WWO is simple, and easy to implement with a small-size population and only a few control parameters. We have tested WWO on a diverse set of benchmark problems, and applied WWO to a real-world high-speed train scheduling…

Citation impact

565
total citations
FWCI
32.99
Percentile
100%
References
50
Citations per year

Authors

1

Topics & keywords

Topics
Keywords
  • Metaheuristic
  • Computer science
  • Mathematical optimization
  • Parallel metaheuristic
  • Optimization problem
  • Scheduling (production processes)
  • Multi-swarm optimization
  • Engineering optimization
UN Sustainable Development Goals
  • Clean water and sanitation
No related works found for this paper.

Funding