A hybrid bio-geography based optimization for permutation flow shop scheduling
نویسندگان
چکیده
منابع مشابه
A hybrid bio-geography based optimization for permutation flow shop scheduling
The permutation flow shop problem (PFSSP) is an NP-hard problem of wide engineering and theoretical background. In this paper, a biogeography based optimization (BBO) based on memetic algorithm, named HBBO is proposed for PFSSP. Firstly, to make BBO suitable for PFSSP, a new LRV rule based on random key is introduced to convert the continuous position in BBO to the discrete job permutation. Sec...
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In this paper, a two-phase hybrid particle swarm optimization algorithm (PRHPSO) is proposed for the permutation flow-shop scheduling problem (PFSP) with the minimizing makespan measure. The smallest position value (SPV) rule is used for encoding the particles that enable PSO for suitable PFSP, and the NEH and Tabu search algorithms are used for initializing the particles. In the first phase, t...
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ژورنال
عنوان ژورنال: Scientific Research and Essays
سال: 2011
ISSN: 1992-2248
DOI: 10.5897/sre10.818