A comparative study of Particle Swarm Optimization and Cuckoo Search techniques through problem-specific distance function

Md Akhtaruzzaman Adnan, M. A. Razzaque

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

20 Citations (Scopus)

Abstract

For the last two decades, nature inspired metaheuristic algorithms have shown their ubiquitous nature in almost every aspect, where computational intelligence is used. This paper intends to focus on the comparative study of two popular and robust bio mimic strategies used in computer engineering, namely Particle Swarm Optimization (PSO) and Cuckoo Search (CS). According to the results, CS outperforms PSO. The performance comparison of both algorithms is implemented in the form of problem specific distance functions rather than an algorithmic distance function. Also an attempt is taken to examine the claim that CS has the same effectiveness of finding the true global optimal solution as the PSO but with significantly better computational efficiency, which means less function evaluations.
Original languageEnglish
Title of host publication2013 International Conference of Information and Communication Technology (ICoICT)
PublisherIEEE:Institute of Electrical Electronics Engineers Inc
Pages88-92
Number of pages5
ISBN (Electronic)9781467349925
ISBN (Print)9781467349901
DOIs
Publication statusPublished - 22 Mar 2013
Externally publishedYes
Event2013 International Conference of Information and Communication Technology (ICoICT) - Bandung, Indonesia
Duration: 20 Mar 201322 Mar 2013

Conference

Conference2013 International Conference of Information and Communication Technology (ICoICT)
CountryIndonesia
CityBandung
Period20/03/1322/03/13

Keywords

  • Metaheuristic Algorithms
  • Cuckoo Search (CS)
  • Particle Swarm Optimization (PSO)
  • Problem Specific Distance Function (PSDF)

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    Adnan, M. A., & Razzaque, M. A. (2013). A comparative study of Particle Swarm Optimization and Cuckoo Search techniques through problem-specific distance function. In 2013 International Conference of Information and Communication Technology (ICoICT) (pp. 88-92). IEEE:Institute of Electrical Electronics Engineers Inc. https://doi.org/10.1109/ICoICT.2013.6574619