Improved intelligent water drops algorithm using adaptive schema

Mohammed M. Msallam, Mohammad Hamdan

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Intelligent water drops (IWD) algorithm is a new meta-heuristic approach belonging to a class of swarm intelligence-based algorithms. It is inspired from observing processes of natural water swarm that happen in the natural river systems. This paper presents an improved IWD algorithm based on developing an adaptive schema to prevent the IWD algorithm from premature convergence. The performance of the adaptive IWD is compared with original IWD and other meta-heuristic algorithms in solving travelling salesman problem (TSP). The results clearly show that the proposed algorithm has better performance than those of original IWD, and MIWD-TSP algorithm and very competitive results to others meta-heuristics.

Original languageEnglish
Pages (from-to)103-111
Number of pages9
JournalInternational Journal of Bio-Inspired Computation
Volume3
Issue number2
DOIs
Publication statusPublished - 2011

Keywords

  • Adaptive intelligent water drops
  • Intelligent water drops
  • IWD
  • Meta-heuristic approach
  • MIWD-TSP
  • Modified IWD for TSP
  • Swarm intelligence
  • Travelling salesman problem
  • TSP

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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