Ship Rescue Optimization: A New Metaheuristic Algorithm for Solving Engineering Problems

Chu S., Wang T. -., Yildiz A. R., Pan J.

JOURNAL OF INTERNET TECHNOLOGY, vol.25, no.1, pp.61-78, 2024 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 25 Issue: 1
  • Publication Date: 2024
  • Doi Number: 10.53106/160792642024012501006
  • Journal Name: JOURNAL OF INTERNET TECHNOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Communication Abstracts, Compendex, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.61-78
  • Bursa Uludag University Affiliated: Yes

Abstract

In recent years, more and more problems in the industry have started to be solved using metaheuristics. In this paper, inspired by the ship maneuvering motion function and the rescue process, we propose ship rescue optimization (SRO) to solve the challenging optimization problem. The ship rescue process can be divided into two types of delayed rescue (large area rescue) and immediate rescue (small rescue) according to the searched person, and we can correspond these two types of rescue behaviors to the search space exploration and simulates the motion process of ship rescue according to the ship maneuvering equation of motion and finally comes applicable in solving challenging optimization problems.