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A Guide For Genetic Algorithm Based On Parallel Machine Scheduling and Flexible Job-Shop Scheduling by david zhang is a document available to read on EtoBox.

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This document presents a guide for using Genetic Algorithms (GAs) in solving complex scheduling problems, specifically Parallel Machine Scheduling (PMS) and Flexible Job-shop Scheduling (FJS). It discusses chromosome representation, crossover, and mutation operators tailored for these scheduling challenges, emphasizing the advantages of GAs over classical methods. The paper aims to provide insights for new researchers in the field of scheduling optimization using GAs.

Author

david zhang

Language

EN