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 contribution

    12 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 2013
    Pages88-92
    Number of pages5
    DOIs
    Publication statusPublished - 10 Sep 2013
    Event2013 International Conference of Information and Communication Technology - Bandung, Indonesia
    Duration: 20 Mar 201322 Mar 2013

    Publication series

    Name2013 International Conference of Information and Communication Technology, ICoICT 2013

    Conference

    Conference2013 International Conference of Information and Communication Technology
    Abbreviated titleICoICT 2013
    Country/TerritoryIndonesia
    CityBandung
    Period20/03/1322/03/13

    Fingerprint

    Dive into the research topics of 'A comparative study of Particle Swarm Optimization and Cuckoo Search techniques through problem-specific distance function'. Together they form a unique fingerprint.

    Cite this