Development of Multi-objective Genetic Algorithms for Scheduling
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چکیده
Scheduling in the drilling operation of the printed circuit board industry deeply annoys the production management staff on the shop floor due to its high complexity of permutations or combination of jobs, machines, and resource constraints. In this research, two multi-objective genetic algorithms are proposed to deal with such a complicated real-world case. Real-world instances are applied as well to evaluate the proposed algorithms. The result indicates that both VMOGA and AMOGA are effective.
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تاریخ انتشار 2004