Autors: SEDA,M.
Title: Flow Shop Scheduling and Its Extension to Fuzzy Processing Times
Keywords: flow shop, mixed integer programming, heuristic, genetic algorithm, fuzzy ranking

Abstract: In this paper, two different approaches to permutation flow shop scheduling problem are investigated. The first one is based on a mixed integer programming model and is solved by an optimization package GAMS. As the problem belongs to NP-complete problems, this approach is limited to smaller instances, its reasonable bounds are indicated using benchmarks from OR-Library. For large instances, an approach using genetic algorithm is proposed including its appropriate parameter settings. Finally, a modification of the problem using uncertain processing times of jobs is presented.



    9th WSEAS International Conference on FUZZY SYSTEMS (FS’08), pp. 219-224, 2008, Bulgaria,

    Вид: публикация в национален форум