A Genetic Algorithm Approach To Parallel Machine Scheduling Problems Under Effects Of Position-Dependent Learning And Linear Deterioration

Oğuzhan Ahmet ARIK

This paper investigates parallel machine scheduling problems where the objectives are to minimize total completion times under effects of learning and deterioration. The investigated problem is in NP-hard class and solution time for finding optimal solution is extremely high. The authors suggested a genetic algorithm, a well-known and strong metaheuristic algorithm, for the problem and we generated some test problems with learning and deterioration effects. The proposed genetic algorithm is compared with another existing metaheuristic for the problem. Experimental results show that the propose ...Daha fazlası