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Differential Lévy-Flights Bat Algorithm for Minimization Makespan in Permutation Flow Shops

  • Jian Xie
  • Yongquan Zhou
  • Zhonghua Tang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7996)

Abstract

The permutation flow shop problem (PFSP) is an NP-hard problem with wide engineering and theoretical background. In this paper, a differential Lévy-flights bat algorithm (DLBA) is proposed to improve basic bat algorithm for PFSP. In DLBA, LOV rule is introduced to convert the continuous position in DLBA to the discrete job permutation, the combination of NEH heuristic and random initialization is used to initialize the population with certain quality and diversity, and a virtual population neighborhoods search is used to enhance the global optimal solution and help the algorithm to escape from local optimal. Experimental results and comparisons show the effectiveness of the proposed DLBA for PFSP.

Keywords

Bat Algorithm Lévy-Flight Minimization Makespan Permutation Flow Shop Scheduling Virtual Population Neighborhoods Search 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jian Xie
    • 1
  • Yongquan Zhou
    • 1
    • 2
  • Zhonghua Tang
    • 1
  1. 1.College of Information Science and EngineeringGuangxi University for NationalitiesNanningChina
  2. 2.Guangxi Key Laboratory of Hybrid Computation and IC Design AnalysisNanningChina

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