A Compact Flower Pollination Algorithm Optimization

Thi Kien Dao, Tien Szu Pan, Trong The Nguyen, Shu Chuan Chu, Jeng Shyang Pan

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)

    Abstract

    A restricted hardware condition is difficult for optimization problems. This paper proposes a novel compact flower pollination algorithm for addressing the class of optimization problems in the restricted hardware condition. In this proposed method, the actual population of tentative solutions is not stored, but a novel probabilistic representation on the population is employed based on the single competition. In the simulation, several problems of numerical optimizations in the benchmark are used to evaluate the accuracy, the computational time and the saving memory of the proposed method. The results compared with the original algorithm and the other algorithms in the literature show that the new proposed method provides the effective way of using a limited memory.

    Original languageEnglish
    Title of host publicationProceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016
    EditorsPei-Wei Tsai, Junzo Watada, Naoyuki Kubota
    Place of PublicationPiscataway, NJ
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages76-79
    Number of pages4
    ISBN (Electronic)9781509010936
    ISBN (Print)9781509010943
    DOIs
    Publication statusPublished - 10 Aug 2017
    Event3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016 - Matsue, Shimane, Japan
    Duration: 20 May 201622 May 2016

    Publication series

    NameProceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016

    Conference

    Conference3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016
    CountryJapan
    CityMatsue, Shimane
    Period20/05/1622/05/16

    Keywords

    • Compact
    • Flower Pollination Algorithm
    • Optimization problems
    • Probabilistic model

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