Greedy Heuristics for Distributed Job Shop Problems
نویسندگان
چکیده
منابع مشابه
Fuzzy Greedy Search and Job-Shop Problem
This paper describes a new metaheuristic for combinatorial optimisation problems with specific reference to the jobshop scheduling problem (JSP). A fuzzy greedy search algorithm (FGSA) which is a combination of a genetic algorithm (GA) and a greedy randomised adaptive search procedure (GRASP) is considered to solve the problem. The effectiveness and efficiency of the proposed hybrid method will...
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In the job shop scheduling problem (JSP), a finite set of jobs is processed on a finite set of machines. Each job is characterized by a fixed order of operations, each of which is to be processed on a specific machine for a specified duration. Each machine can process at most one job at a time and once a job initiates processing on a given machine it must complete processing uninterrupted. A sc...
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Planning and scheduling problems in various industrial environments are combinatorial and very difficult. Generally, it is extremely hard to solve these types of problems in their general form. Scheduling can be formulated as a problem of determining the best sequence to execute a set of tasks on a set of resources, respecting specific constraints like precedence or disjunctive constraints (Car...
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ژورنال
عنوان ژورنال: Procedia CIRP
سال: 2014
ISSN: 2212-8271
DOI: 10.1016/j.procir.2014.05.025