Solving Job Shop Scheduling Problem by a Hybrid Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
An Effective Hybrid Genetic Algorithm for Job Shop Scheduling Problem
The job shop scheduling problem (JSSP) is well known as one of the most difficult combinatorial optimization problems. This paper presents a hybrid genetic algorithm for the JSSP with the objective of minimizing makespan. The efficiency of the genetic algorithm is enhanced by integrating it with a local search method. The chromosome representation of the problem is based on operations. Schedule...
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The problem of Dynamic Job Shop (DJS) scheduling is one of the most complex problems of machine scheduling. This problem is one of NP-Hard problems for solving which numerous heuristic and metaheuristic methods have so far been presented. Genetic Algorithms (GA) are one of these methods which are successfully applied to these problems. In these approaches, of course, better quality of solutions...
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This paper presents a new multi objective job shop scheduling with sequence-dependent setup times. The objectives are to minimize the makespan and sum of the earliness and tardiness of jobs in a time window. A mixed integer programming model is developed for the given problem that belongs to NP-hard class. In this case, traditional approaches cannot reach to an optimal solution in a reasonable...
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ژورنال
عنوان ژورنال: Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21
سال: 2007
ISSN: 2424-3086
DOI: 10.1299/jsmelem.2007.4.8f617