Fuzzy Programming for Multiobjective Fuzzy Job Shop Scheduling Problems through Genetic Algorithms
نویسندگان
چکیده
منابع مشابه
Solving Fuzzy Job-Shop Scheduling Problems with a Multiobjective Optimizer
In real-world manufacturing environments, it is common to face a job-shop scheduling problem (JSP) with uncertainty. Among different sources of uncertainty, processing times uncertainty is the most common. In this paper, we investigate the use of a multiobjective genetic algorithm to address JSPs with uncertain durations. Uncertain durations in a JSP are expressed by means of triangular fuzzy n...
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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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In the present paper, we consider multiobjective two-level nonlinear integer programming problems (MOTLNLIPPs) in which the decision maker (DM) at each level controls his own integer decision variables to optimize multiple objective functions. Various approaches for multi-level programming problems could exist according to situations which the DMs are placed in. In this paper, it is assumed tha...
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ژورنال
عنوان ژورنال: Journal of Japan Society for Fuzzy Theory and Systems
سال: 1999
ISSN: 0915-647X,2432-9932
DOI: 10.3156/jfuzzy.11.5_77