Hybrid Particle Swarm Optimization and convergence analysis for scheduling problems

Xue Feng Zhang, Miyuki Koshimura, Hiroshi Fujita, Ryuzo Hasegawa

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

1 Citation (Scopus)

Abstract

This paper proposes a hybrid particle swarm optimization algorithm and for solving Flow Shop Scheduling Problems (FSSP) and Job Shop Scheduling Problems (JSSP) to minimize the maximum makespan. A new hybrid heuristic, based on Particle Swarm Optimization (PSO), Tabu Search (TS) and Simulated Annealing (SA), is presented. By reasonablycombining these three different search algorithms, we develop a robust, fast and simply implemented hybrid optimization algorithm HPTS (Hybrid of Particle swarm optimization, Tabu search and Simulated annealing). On the other hand, we analyze the convergence of PSO algorithm with an optimum keeping strategy and TS, SA algorithms by Markov chain theory at a different aspect in this paper, and HPTS algorithm is proved to be convergent. This hybrid algorithm is applied to the standard benchmark sets and compared with other approaches. The experimental results show that the proposed algorithm could obtain the high-quality solutions within relatively short computation time. Meanwhile, the convergence of HPTS is proved. For example, in 30 and 43 benchmarks, 7 new upper bounds and 6 new upper bounds are obtained by the HPTS algorithm, respectively.

Original languageEnglish
Title of host publicationGECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion
Pages307-314
Number of pages8
DOIs
Publication statusPublished - Aug 20 2012
Event14th International Conference on Genetic and Evolutionary Computation, GECCO'12 - Philadelphia, PA, United States
Duration: Jul 7 2012Jul 11 2012

Publication series

NameGECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion

Other

Other14th International Conference on Genetic and Evolutionary Computation, GECCO'12
CountryUnited States
CityPhiladelphia, PA
Period7/7/127/11/12

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics

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