Variable Neighborhood Particle Swarm Optimization for Multi-objective Flexible Job-Shop Scheduling Problems

  • Hongbo Liu
  • Ajith Abraham
  • Okkyung Choi
  • Seong Hwan Moon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4247)


This paper introduces a hybrid metaheuristic, the Variable Neighborhood Particle Swarm Optimization (VNPSO), consisting of a combination of the Variable Neighborhood Search (VNS) and Particle Swarm Optimization(PSO). The proposed VNPSO method is used for solving the multi-objective Flexible Job-shop Scheduling Problems (FJSP). The details of implementation for the multi-objective FJSP and the corresponding computational experiments are reported. The results indicate that the proposed algorithm is an efficient approach for the multi-objective FJSP, especially for large scale problems.


Particle Swarm Optimization Completion Time Particle Swarm Optimization Algorithm Large Scale Problem Variable Neighborhood Search 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hongbo Liu
    • 1
    • 2
  • Ajith Abraham
    • 1
    • 3
  • Okkyung Choi
    • 3
    • 4
  • Seong Hwan Moon
    • 4
  1. 1.School of Computer ScienceDalian Maritime UniversityDalianChina
  2. 2.Department of ComputerDalian University of TechnologyDalianChina
  3. 3.School of Computer Science and EngineeringChung-Ang UniversitySeoulKorea
  4. 4.Department of Science and Technology, Education for LifeSeoul National University of EducationSeoulKorea

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