A genetic algorithm and data mining to resolve a job shop schedule

We study a job shop scheduling problem using a Genetic Algorithm and Data Mining. The developed Genetic Algorithm generates a learning population of optimal solutions. We used C4/5 decision tree to mind the population. Some decision rules finding for each machine an affectation order of operations were finally induced.