Combining Metaheuristics and Constraint Programming to Solve a Scheduling Problem
نویسندگان
چکیده
In this paper we present a hybrid method, named Quasi Local Search, which combines Simulated Annealing augmented with a type of Tabu List to guide the search globally with Constraint Programming to search locally the optimal solution. The method can also be seen as an integration framework, once the Local Search module is independent of the Constraint Programming one and either can be worked independently. The method is used to solve a Generator Maintenance Scheduling Problem with promising results. We also present a study about the se-lection of certain parameters and neighbourhood structure. The result allows us to conclude about their influence on the method’s performance. Key-Words: Metaheuristics, Constraint Programming, Hybrid Schemes, Maintenance Scheduling
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