Adopting co-evolution and constraint-satisfaction concept on genetic algorithms to solve supply chain network design problems
- 31 October 2010
- journal article
- research article
- Published by Elsevier BV in Expert Systems with Applications
- Vol. 37 (10), 6919-6930
- https://doi.org/10.1016/j.eswa.2010.03.030
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- A steady-state genetic algorithm for multi-product supply chain network designComputers & Industrial Engineering, 2009
- Automatic tropical cyclone eye fix using genetic algorithmExpert Systems with Applications, 2008
- An adaptive scheduling system with genetic algorithms for arranging employee training programsExpert Systems with Applications, 2007
- New stochastic models for capacitated location-allocation problemComputers & Industrial Engineering, 2003
- The new efficient hierarchy combination encoding method of evolution strategies for production allocation problemsComputers & Industrial Engineering, 2002
- Study on multi-stage logistic chain network: a spanning tree-based genetic algorithm approachComputers & Industrial Engineering, 2002
- Genetic algorithms for communications network design - an empirical study of the factors that influence performanceIEEE Transactions on Evolutionary Computation, 2001
- A primal decomposition method for the integrated design of multi-period production-distribution systemsIIE Transactions, 1999
- Network design in supply chain managementInternational Journal of Agile Management Systems, 1999
- Designing Distribution Systems to Support Vendor Strategies in Supply Chain Management*Decision Sciences, 1998