Using genetic algorithms for practical multi-objective production schedule optimisation
Production scheduling is a notoriously difficult problem. Manufacturing environments contain complex, time-critical processes, which create highly constrained scheduling problems. Genetic algorithms (GAs) are optimisation tools based on the principles of evolution. They can tackle problems that are...
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University of Sheffield
1997
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284350 |