An adaptable optimizer for green component design

C-F. Tsai, S-L. Lu, J-H. Chen, Kuo-Ming Chao, Nazaraf Shah

    Research output: Contribution to journalArticle

    3 Citations (Scopus)

    Abstract

    This paper proposes an adaptive mechanism for improving the availability efficiency of green component design (GCD) process. The proposed approach incorporates a wide range of GCD strategies to increase availability of the recycled/reused/remanufactured components. We have also designed a self-adjusting mechanism to enhance the versatility and generality of a genetic algorithm (GA) to improve GCD availability efficiency. The mechanism allows refinement of the GA parameters for the selections of operators in each generation. Our research contribution includes the development of a novel mechanism for the evaluation of optimal selections of reproduction strategies, adjustment and optimization of the crossover and mutation rates in evolutions, and design of Taguchi Orthogonal Arrays with a GA optimizer. The effectiveness of the proposed algorithms has been examined in a GCD chain. From the experimental results, we can conclude that the proposed approach resulted in better reproduction optimization than the traditional ones.
    Original languageEnglish
    Pages (from-to)193-210
    JournalInformation Systems and e-Business Management
    Volume13
    Issue number2
    DOIs
    Publication statusPublished - 2014

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    Genetic algorithms
    Availability
    Mathematical operators

    Bibliographical note

    This article is not yet available in the repository.

    Keywords

    • Genetic algorithms
    • Green strategy
    • Orthogonal Arrays

    Cite this

    An adaptable optimizer for green component design. / Tsai, C-F.; Lu, S-L.; Chen, J-H.; Chao, Kuo-Ming; Shah, Nazaraf.

    In: Information Systems and e-Business Management, Vol. 13, No. 2, 2014, p. 193-210.

    Research output: Contribution to journalArticle

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    AU - Shah, Nazaraf

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