Modified Genetic Algorithm for Flexible Job-Shop Scheduling Problems

Abstract

This paper proposes a modified version of the genetic algorithm for flexible job-shop scheduling problems (FJSP). The genetic algorithm (GA), a class of stochastic search algorithms, is very effective at finding optimal solutions to a wide variety of problems. The proposed modified GA consists of 1) an effective selection method called “fuzzy roulette wheel… (More)
DOI: 10.1016/j.procs.2012.09.041

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