A flexible three-level logistic network design considering cost and time criteria with a multi-objective evolutionary algorithm

Author:

Rajabalipour Cheshmehgaz Hossein,Desa Mohamad Ishak,Wibowo Antoni

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Reference55 articles.

1. Aslam, T., Ng, A. H. C. (2010). Multi-objective optimization for supply chain management: a literature review and new development. In 8th International conference on supply chain management and information systems: logistics systems and engineering, Hong Kong.

2. Bader J. M. (2009) Hypervolume-based search for multiobjective optimization: Theory and methods. Swiss Federal Institute of Technology, Zurich

3. Baker K. (1987) Adaptive selection methods for genetic algorithms. In: Grefenstette J. J. (eds) 2th International conference on genetic algorithms. Lawrence Erlbaum Associates, Hillsdale, NJ, pp 100–111

4. Ballou R. H. (2004) Business logistics/supply chain management (5 ed.). Pearson Prentice Hall, Upper Saddle River, NJ

5. Baykasoglu A. (2006) Multi-rule multi-objective simulated annealing algorithm for straight and U type assembly line balancing problems. Journal of Intelligent Manufacturing 17(2): 217–232. doi: 10.1007/s10845-005-6638-y

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