Adopting co-evolution and constraint-satisfaction concept on genetic algorithms to solve supply chain network design problems

Expert Systems with Applications

Volumn 37, Issue 10, 2010, Pages 6919-6930

  Ying Hua, Chang ^a  

^a TAMKANG UNIVERSITY   (Taiwan)

Author keywords

Co evolution concept; Constraint satisfaction concept; Genetic algorithms; Optimization; Supply chain network design

Indexed keywords

COMPLEX NETWORKS; CONSTRAINT SATISFACTION PROBLEMS; FLOW MEASUREMENT; GENETIC ALGORITHMS; INFORMATION DISSEMINATION; MATHEMATICAL PROGRAMMING; OPTIMIZATION; PROBLEM SOLVING; SUPPLY CHAINS;

CO-EVOLUTION; CONSTRAINT CONDITIONS; CONSTRAINT SATISFACTION; DEGREE OF COMPLEXITY; SIMPLE GENETIC ALGORITHM; SUPPLY CHAIN NETWORK DESIGN; SUPPLY CHAIN TECHNOLOGIES; SUPPLY-CHAIN INTEGRATION;

EVOLUTIONARY ALGORITHMS;

EID: 81355161025     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.03.030     Document Type: Article

References (34)

1. Bielli, M., Caramia, M., & Carotenuto, P. (2002). Genetic algorithms in bus network optimization. Transportation Research, Part C, 10, 19-34. (Pubitemid 33011660)
2. Chou, H., Premkumar, G., & Chu, C. H. (2001). Genetic algorithms for communications network design - An empirical study of the factors that influence performance. IEEE Transactions on Evolutionary Computation, 5(3), 236-249. (Pubitemid 32645072)
3. Christophe, P. & Hugues, B. (2007). A gestalt genetic algorithm: Less details for better search. In Genetic and evolutionary computation conference (pp. 1328-1334).
4. Altiparmak, F., Gen, M., & Lin, L. (2005). A genetic algorithm for supply chain network design. In International conference on computers and industrial engineering (pp. 111-116).
5. Altiparmak, F., Gen, M., Lin, L., & Karaoglan, I. (2007). A steady-state genetic algorithm for multi-product supply chain network design. Computers and Industrial Engineering. doi:10.1016/j.cie.2007.05.012.
6. Gen, M., & Cheng, R. (2000). Genetic algorithms and engineering optimization. New York: Addison-Wesley.
7. Goldberg, D. E. (1989). Genetic algorithms in search, optimization and machine learning. Boston, MA: Addison-Wesley Longman Publishing Co., Inc.
8. Hayashi, K., Koguro, N., & Murakami, R. (2005). Industrial and practical experience track paper session 2: Diversified SCM standard for the Japanese retail industry. In Special interest tracks and posters of the 14th international conference on World Wide Web (pp. 856-863).
9. Hillis, W. D. (1992). Coevolving parasites improve simulated evolution as an optimization procedure. In C. G. Langton, C. Taylor, J. D. Farmer, & S. Rasmussen (Eds.), Artificial life II (pp. 313-324). Redwood City, CA: Addison-Wesley.
10. Holland, J. H. (1975). Adaptation in natural and artificial systems. Annarbor, Michigan: The University of Michigan Press.
11. Hou, Y. C. & Chang Y. H. (2002). Research on co-evolutionary electronic commerce's negotiating mechanism. In Anthology of industry electronic operations management academic and practical conference (pp. 1-9).
12. Hou, Y. C., & Chang, Y. H. (2002b). The new efficient hierarchy combination encoding method of evolution strategies for production allocation problems. Computers and Industrial Engineering, 43(3), 577-589.
13. Hou, Y. C., & Chang, Y. H. (2003). Dynamic programming variant in evolution strategies for production allocation problems. MIS Review, 12, 1-16.
14. Ibaraki, T., & Katoh, N. (1988). Resource Allocation Problems-Algorithmic Approaches. The MIT Press.
15. Jaramillo, J. H., Bhadury, J., & Batta, R. (2002). On the use of genetic algorithms to solve location problems. Computers and Operations Research, 29, 761-779. (Pubitemid 34099416)
16. Juang, Y. S., Lin, S. S., & Kao, H. P. (2007). An adaptive scheduling system with genetic algorithms for arranging employee training programs. International Journal, 33, 642-651.
17. Koray, D., & Marc, G. (1999). A primal decomposition method for the integrated design of multi-period production-distribution systems. IIE Transactions, 31(11), 1027-1036.
18. Liu, P. Y., Hsieh, Y. C. (2005). B2B e-commerce and enterprise integration: A study based on the value system for the interaction of the multi-tiered supply chain under the trend of e-business. In Proceedings of the 7th international conference on electronic commerce (pp. 385-392).
19. Maloni, I., & Benton, W. C. (1997). Supply chain partnerships: Opportunities for operations research. European Journal of Operational Research, 10(3), 419-429. (Pubitemid 127399930)
20. Melachrinoudis, E., & Min, H. (2000). The dynamic relocation and phase-out of a hybrid, two-echelon plant/warehousing facility: A multiple objective approach. European Journal of Operational Research, 123(1), 1-15. (Pubitemid 30575848)
21. Robinson, E. P., & Satterfield, R. K. (1998). 'Designing distribution systems to support vendor strategies in supply chain management'. Decision Science, 29, 685-705.
22. Ross, A. D. (2000). Performance-based strategic resource allocation in supply networks. International Journal of Production Economics, 63(2), 255-266. (Pubitemid 30519306)
23. Su, X. Y. (2000). Materials circulation and operations management (1st ed.). Taipei: Hwa Tai Publishing.
24. Sue, A. H. (1999). Network design in supply chain management. International Journal of Agile Management Systems, 1(2), 99-106.
25. Syam, S. S. (2002). A model and methodologies for the location problem with logistical components. Computers and Operations Research, 29, 1171193.
26. Syarif, A., Yun, Y., & Gen, M. (2002). Study on multi-stage logistics chain network: A spanning tree-based genetic algorithm approach. Computers and Industrial Engineering, 43, 299-314. (Pubitemid 34551914)
27. Szeto, K. Y., & Fong, L. Y. (2000). How adaptive agents in stock market perform in the presence of random news: A genetic algorithm approach. Lecture Notes in Computer Science. Berlin/Heidelberg: Springer (pp. 505-510). (Pubitemid 33211364)
28. Ting, C. J., & Huang, C. H. (2005). An improved genetic algorithm for vehicle routing problem with time windows. International Journal of Industrial Engineering, 12(3), 216-226.
29. Vaidyanathan, J., & Hasan, P. (2001). Planning and coordination of production and distribution facilities for multiple commodities. European Journal of Operational Research, 133(2), 394-408.
30. Viswanathan, S., & Piplani, R. (2001). Coordinating supply chain through common replenishment epochs. European Journal of Operational Research, 129, 277-286. (Pubitemid 32035351)
31. Wang, S. Q. (2002). Purchase orders distribution mode of multiple factory sects' production system - LCD monitor industry as the example. Master Dissertation, Institute of Industrial Engineering and Business Operation, Tunghai University.
32. Wong, K. Y., Yip, C. L., & Li, P. W. (2008). Automatic tropical cyclone eye fix using genetic algorithm. Expert Systems With Applications, 34(1), 643-656. (Pubitemid 46778982)
33. Wu, Z. X. (2002). Research of genetic algorithm's application in SCN production and sale optimum mode. Master Dissertation, Institute of Enterprise Management, Shih Chien University.
34. Zhou, J., & Liu, B. (2003). New stochastic models for capacitated location-allocation problem. Computers and Industrial Engineering, 111-125.