Analysing the density of subgroups in valued relationships based on DNA computing

Ikno Kim, Don Jyh Fu Jeng, Junzo Watada

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

    Abstract

    One method for enhancing the quality of work life for companies or other organisations is to rearrange employees by detecting and analysing employees' close interpersonal relationships based on business implications. Although human resource managers can use various methods to enhance the quality of work life, one of the most widely used and effective methods is job rotation. In this paper, we select a model of a workplace where employees in a variety of job functions are sharing tasks, information, etc. through close interpersonal relationships, and we suppose a personnel network which contains strong terms of mutual understanding. However, with a huge number of employees it becomes extremely difficult to find the maximum clique of employees for rearrangement, meaning this is NP-hard. Therefore, we employ DNA computing, also known as molecular computation, to this rearranging problem. The goal of this paper is to propose a way to apply DNA computing to this human resource management problem, and to measure its effectiveness in rearranging employees to analyse the density of subgroups in a personnel network with valued relationships.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages964-971
    Number of pages8
    Volume4253 LNAI - III
    Publication statusPublished - 2006
    Event10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006 - Bournemouth
    Duration: 2006 Oct 92006 Oct 11

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume4253 LNAI - III
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006
    CityBournemouth
    Period06/10/906/10/11

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    ASJC Scopus subject areas

    • Computer Science(all)
    • Biochemistry, Genetics and Molecular Biology(all)
    • Theoretical Computer Science

    Cite this

    Kim, I., Jeng, D. J. F., & Watada, J. (2006). Analysing the density of subgroups in valued relationships based on DNA computing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4253 LNAI - III, pp. 964-971). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4253 LNAI - III).