Genetic Algorithm Tuning Applied to the Open Shop Scheduling Problem
نویسندگان
چکیده
منابع مشابه
A hybrid genetic algorithm for the open shop scheduling problem
In this paper novel hybrid genetic algorithms for Open--Shop Scheduling Problem (OSSP) are presented. Two greedy heuristics LPT-Task and LPT-Machine are proposed for decoding chromosomes represented by permutations with repetitions. For comparison the standard permutation representation of OSSP instances is used. The algorithms apply also efficient crossover operator LOX and mutation operators ...
متن کاملA Hybrid Genetic Algorithm for the Open Shop Scheduling with Makespan and Total Completion Time
Proper scheduling of tasks leads to optimum using of time and resources, in order to obtaining best result. One of the most important and complicated scheduling problems is open shop scheduling problem. There are n jobs in open shop scheduling problem which should be processed by m machines. Purpose of scheduling open shop problem is attaining to a suitable order of processing jobs by specified...
متن کاملA Hybrid Genetic Algorithm for the Open Shop Scheduling with Makespan and Total Completion Time
Proper scheduling of tasks leads to optimum using of time and resources, in order to obtaining best result. One of the most important and complicated scheduling problems is open shop scheduling problem. There are n jobs in open shop scheduling problem which should be processed by m machines. Purpose of scheduling open shop problem is attaining to a suitable order of processing jobs by specified...
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Flow-shop scheduling problem (FSP) deals with the scheduling of a set of n jobs that visit a set of m machines in the same order. As the FSP is NP-hard, there is no efficient algorithm to reach the optimal solution of the problem. To minimize the holding, delay and setup costs of large permutation flow-shop scheduling problems with sequence-dependent setup times on each machine, this pap...
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ژورنال
عنوان ژورنال: International Journal of Applied Information Systems
سال: 2016
ISSN: 2249-0868
DOI: 10.5120/ijais2016451588