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A Discrete Krill Herd Method with Multilayer Coding Strategy for Flexible Job-Shop Scheduling Problem

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Book cover Intelligent Systems Technologies and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 384))

Abstract

Krill herd (KH) algorithm is a novel swarm-based approach which mimics the herding and foraging behavior of krill species in sea. In our current work, KH method is discretized and incorporated into some heuristic strategies so as to form an effective approach, called discrete krill herd (DKH). The intention has been to use DKH towards solving the flexible job-shop scheduling problem (FJSSP). Firstly, instead of continuous code, a multilayer coding strategy is used in preprocessing stage which enables the KH method to deal with FJSSP. Subsequently, the proposed DKH method is applied to find the best scheduling sequence within the promising domain. In addition, elitism strategy is integrated to DKH with the aim of making the krill swarm move towards the better solutions all the time. The performance of the proposed discrete krill herd algorithm is verified by two FJSSP instances, and the results clearly demonstrate that our approach is able to find the better scheduling in most cases than some existing state-of-the-art algorithms.

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Authors and Affiliations

  1. School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, China

    Gai-Ge Wang

  2. Institute of Algorithm and Big Data Analysis, Northeast Normal University, Changchun, 130117, China

    Gai-Ge Wang

  3. School of Computer Science, Northeast Normal University, Changchun, 130117, China

    Gai-Ge Wang

  4. Department of Computer Science & Engineering, Cambridge Institute of Technology, Cambridge Village, Tatisilwai, Ranchi, 835103, Jharkhand, India

    Suash Deb

  5. Department of Computer Engineering, Indian Institute of Information Technology & Management - Kerala (IIITM-K), Technopark Campus, Trivandrum, 695581, Kerala, India

    Sabu M. Thampi

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  1. Gai-Ge Wang
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Correspondence to Gai-Ge Wang .

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Editors and Affiliations

  1. Dipartimento di Ingegneria dell’ Informazione (DINFO) , Universita degli Studi di Firenze, Firenze, Italy

    Stefano Berretti

  2. School of CS/IT, Indian Institute of Information Tech. and Management – Kerala (IIITM-K), Trivandrum, Kerala, India

    Sabu M. Thampi

  3. Indian Institute of Management Rohtak, Rohtak, Haryana, India

    Praveen Ranjan Srivastava

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Wang, GG., Deb, S., Thampi, S.M. (2016). A Discrete Krill Herd Method with Multilayer Coding Strategy for Flexible Job-Shop Scheduling Problem. In: Berretti, S., Thampi, S., Srivastava, P. (eds) Intelligent Systems Technologies and Applications. Advances in Intelligent Systems and Computing, vol 384. Springer, Cham. https://doi.org/10.1007/978-3-319-23036-8_18

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