A Cross Entropy-Genetic Algorithm Approach for Multi Objective Job Shop Scheduling Problem
نویسنده
چکیده
Multi Objective Job Shop Scheduling Problem (MOJSP) is a problem for finding optimal operation sequences of some jobs according to more than one goal to achieve. The problem gets harder as its complexity increases. The development of optimization method has led many new methods to solve this problem. This paper offers Cross Entropy-Genetic Algorithm (CEGA) method to solve job shop scheduling problem with multi objectives. CEGA was cnstructed from combination of Cross Entropy method with Genetic Algorithm. CEGA has been successfully applied on single objective job shop scheduling. The weighted objective approach was proposed to accommodate multi objective computation. The experiment results show that generally, CEGA produced competitive solutions compared to Simulated Annealing.
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