Iterated Greedy methods for the distributed permutation flowshop scheduling problem
نویسندگان
چکیده
منابع مشابه
A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem
Over the last decade many metaheuristics have been applied to the flowshop scheduling problem, ranging from Simulated Annealing or Tabu Search to complex hybrid techniques. Some of these methods provide excellent effectiveness and efficiency at the expense of being utterly complicated. In fact, several published methods require substantial implementation efforts, exploit problem specific speed-...
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This paper studies a new generalization of the regular permutation flowshop scheduling problem (PFSP) referred to as the distributed permutation flowshop scheduling problem or DPFSP. Under this generalization, we assume that there are a total of identical factories or shops, each one with machines disposed in series. A set of n available jobs have to be distributed among the factories and then ...
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This paper proposes an iterated greedy algorithm for solving the blocking flowshop scheduling problem for makespan minimization. Moreover, it presents an improved NEH-based heuristic, which is used as the initial solution procedure for the iterated greedy algorithm. The effectiveness of both procedures was tested on some of Taillard’s benchmark instances that are considered to be blocking flows...
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Genetic algorithms (GAs) are search heuristics used to solve global optimization problems in complex search spaces. We wish to show that the e6ciency of GAs in solving a &owshop problem can be improved signi7cantly by tailoring the various GA operators to suit the structure of the problem. The &owshop problem is one of scheduling jobs in an assembly line with the objective of minimizing the com...
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ژورنال
عنوان ژورنال: Omega
سال: 2019
ISSN: 0305-0483
DOI: 10.1016/j.omega.2018.03.004