Optimization of Logistic Processes in Supply-Chains Using Meta-heuristics

摘要: This paper addresses the optimization of logistic processes in supply-chains using meta-heuristics: genetic algorithms and ant colony optimization. The dynamic assignment components to orders choosing solution that is able deliver more at correct date, a scheduling problem classical methods can not cope with. However, implementation meta-heuristics done only after positive assessment performance’s expectation provided by fitness-distance correlation analysis. Both are then applied simulation example describes general process. performance similar for both methods, but method provides information expenses computational costs.