Fuzzy Greedy Search and Job-Shop Problem
نویسنده
چکیده
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 be investigated through the experimental results on standard benchmark problems.
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