Memetic algorithms for solving job-shop scheduling problems
نویسندگان
چکیده
منابع مشابه
Memetic algorithms for solving job-shop scheduling problems
The job-shop scheduling problem is well known for its complexity as an NP-hard problem. We have considered JSSPs with an objective of minimizing makespan while satisfying a number of hard constraints. In this paper, we developed a memetic algorithm (MA) for solving JSSPs. Three priority rules were designed, namely partial re-ordering, gap reduction and restricted swapping, and used as local sea...
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The n×m minimum-makespan general job-shop scheduling problem, hereafter referred to as the JSSP, can be described by a set of n jobs {Ji}1≤j≤n which is to be processed on a set of m machines {Mr}1≤r≤m. Each job has a technological sequence of machines to be processed. The processing of job Jj on machine Mr is called the operation Ojr. Operation Ojr requires the exclusive use of Mr for an uninte...
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A clonal selection based memetic algorithm is proposed for solving job shop scheduling problems in this paper. In the proposed algorithm, the clonal selection and the local search mechanism are designed to enhance exploration and exploitation. In the clonal selection mechanism, clonal selection, hypermutation and receptor edit theories are presented to construct an evolutionary searching mechan...
متن کاملHeuristic Methods for Solving Job-Shop Scheduling Problems
Solving scheduling problems with Constraint Satisfaction Problems (CSP’s) techniques implies a wide space search with a large number of variables, each one of them with a wide interpretation domain. This paper discusses the application of CSP heuristic techniques (based on the concept of slack of activities) for variable and value ordering on a special type of job-shop scheduling problems in wh...
متن کاملA hybrid method for solving stochastic job shop scheduling problems
This paper presents a nonlinear mathematical programming model for a stochastic job shop scheduling problem. Due to the complexity of the proposed model, traditional algorithms have low capability in producing a feasible solution. Therefore, a hybrid method is proposed to obtain a near-optimal solution within a reasonable amount of time. This method uses a neural network approach to generate in...
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ژورنال
عنوان ژورنال: Memetic Computing
سال: 2008
ISSN: 1865-9284,1865-9292
DOI: 10.1007/s12293-008-0004-5