A Combined Meta-Heuristic with Hyper-Heuristic Approach to Single Machine Production Scheduling Problem

This paper is concerned with minimization of mean
tardiness and flow time in a real single machine production
scheduling problem. Two variants of genetic algorithm as metaheuristic
are combined with hyper-heuristic approach are proposed to
solve this problem. These methods are used to solve instances
generated with real world data from a company. Encouraging results
are reported.





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International Journal of Computer, Information, Systems and Control
Engineering Vol:7 No:8. 2013.