haku: @journal_id 949 / yhteensä: 746
viite: 6 / 746
Tekijä:Tam, K. Y.
Chan, S. K.
Otsikko:Solving facility layout problems with geometric constraints using parallel genetic algorithms (GA's)
Lehti:International Journal of Production Research
1998 : DEC, VOL. 36:12, p. 3253-3272
Asiasana:
Vapaa asiasana:Fabriklayout
Mathematisches Modell
Kieli:eng
Tiivistelmä:Advances is modelling techniques and computational tools have provided new approaches to the layout problem. GA´s are general purpose search procedures modelled on natural selection and evolutionary principles. This paper presents a parallel GA approach to the facility layout problem which improves on previous work in terms of schema coding and solution method. Four Parallel GA´s are developed and compared. The results indicate that the distributed and totally distributed parallel GA consistently outperform others, independent of problem size and number of processors.
SCIMA tietueen numero: 203179
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