A hybrid method of biological computation and genetic algorithms for resolving process-focused scheduling problems

Ikno Kim, Junzo Watada

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

    Abstract

    A huge number of different product types are managed through various processes in facilities with different approaches to scheduling. In this paper, we concentrate mainly on process-focused facilities. Sample groups of such facilities and processes were selected: its orders and times were investigated using both biological computation and genetic algorithms. First, biological computation was used to determine practical schedules. Second, genetic algorithms were used to identify which of the schedules determined by biological computation worked best. Here, we examine how combining these methods can be applied to solving process-focused scheduling problems.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages159-165
    Number of pages7
    Volume5712 LNAI
    EditionPART 2
    DOIs
    Publication statusPublished - 2009
    Event13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009 - Santiago
    Duration: 2009 Sep 282009 Sep 30

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 2
    Volume5712 LNAI
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009
    CitySantiago
    Period09/9/2809/9/30

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

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  • Cite this

    Kim, I., & Watada, J. (2009). A hybrid method of biological computation and genetic algorithms for resolving process-focused scheduling problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 5712 LNAI, pp. 159-165). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5712 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-04592-9_20