Planning of complex supply chains: A performance comparison of three meta-heuristic algorithms
Author:
Publisher
Elsevier BV
Subject
Management Science and Operations Research,Modelling and Simulation,General Computer Science
Reference80 articles.
1. Application of the cross-entropy method to the buffer allocation problem in a simulation-based environment;Alon;Ann Oper Res,2005
2. A cross entropy approach to design of reliable networks;Altiparmak;Eur J Oper Res,2009
3. A genetic algorithm approach for multi-objective optimization of supply chain networks;Altiparmak;Comput Ind Eng,2006
4. An empirical comparison of Tabu search, simulated annealing, and genetic algorithms for facilities location problems;Arostegui;Int J Prod Econ,2006
5. Use of genetic algorithms to solve production and operations management problems: a review;Aytug;Int J Prod Res,2003
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