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Neural network applied to the coevolution of the memetic algorithm for solving the makespan minimization problem in parallel machine scheduling

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2 Author(s)
Bonfim, T.R. ; Sch. of Electr. & Comput. Eng., State Univ. of Campinas, Brazil ; Yamakami, A.

The problem discussed here is one of scheduling the tasks in identical parallel machines. In this problem, we deal with a set of n tasks and m identical parallel machines, with the objective of minimizing the makespan. The makespan is the total processing time of the most busy machine. This work presents an implementation of a memetic-neuro scheduler for solving this scheduling problem. The memetic algorithm, which is an hybrid version of genetic algorithm with local search, has been used to evolve good scheduling forms; and the neural network has been used to calculate the fitness for each individual of the population.

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Neural Networks, 2002. SBRN 2002. Proceedings. VII Brazilian Symposium on

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