Utilization of Multi-Objective Genetic Algorithm for one-item multi-level Inventory distribution system

International Journal of Information and Management Sciences

Volumn 20, Issue 2, 2009, Pages 291-304

  Maiti, Manas Kumar ^a   Maiti, Manoranjan ^b  

^a MAHISHADAL RAJ COLLEGE   (India)

^b VIDYASAGAR UNIVERSITY   (India)

Author keywords

Multi criteria de cision making; Multi echelon; Multi Objective Genetic Algorithm; One item inventory distribution system

Indexed keywords

COMPROMISE SOLUTIONS; CUSTOMER SERVICES; DISTRIBUTION SYSTEMS; GOAL ATTAINMENT; GOAL PROGRAMMING; INVENTORY DISTRIBUTION; MULTI-CRITERIA DE- CISION MAKING; MULTI-ECHELON; MULTI-LEVEL; MULTI-OBJECTIVE GENETIC ALGORITHM; NEAR OPTIMUM; NUMERICAL EXAMPLE; ONE-ITEM INVENTORY-DISTRIBUTION SYSTEM; STOCHASTIC ENVIRONMENT; TOTAL COSTS; TRANSPORTATION COST;

GENETIC ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION;

PROBABILITY DISTRIBUTIONS;

EID: 67650478863     PISSN: 10171819     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. Brown, R. G., Decision Rules for Inventory Management, Holt, Rinchart and Winston, New York, 1967.
2. Deb, K., Multi-objective Optimization using Evolutionary Algorithm, John Wiley and Sons, 2001
3. Deb, K., Pratap, A., Agarwal, S. and Meyarivan, T., A fast and elitist multi-objective genetic al- gorithm: NSGA-II, IEE Transactions on Evolutionary Computation, Vol. 6, No. 2, pp. 182-197, 2002.
4. Fonseca, C. M. and Fleming, P. J., Genetic algorithms for multiobjective optimization, Formula- tion, Discussion and Generalization, Proceedings of the Fifth International Conference on Genetic Algorithm, S. Forrest, Ed. San Mateo, CA: Morgan Kauffman, 1993, 416-423.
5. Gardner, E. S. and Dannenbring, D. G., Using optimal policy surfaces to analyze aggregate inventory tradeoffs, Mgmt Sci., Vol. 25, pp. 709-720, 1979.
6. Goldberg, D. E., Genetic Algorithms: Search, Optimization and Machine Learning, Addison Wesley, Massachusetts, 1989.
7. Horn, J., Nafploitis, N. and Goldberg, D. E., A niched Pareto genetic algorithm for multiobjec- tive optimization, In Proceedings of the First IEEE conference on Evolutionary Computation, Z. Michalewicz, Ed. Piscataway, NJ: IEEE Press, pp. 82-87, 1994.
8. Lai, Y. J. and Hwang, C. L., Fuzzy Multiple Objective Decision Making: Methods and Application, Springer-Verlag, New york, 1994.
9. Mondal, S. and Maiti, M., Multi-item fuzzy EOQ models, using genetic algorithm, Computers and Industrial Engineering, Vol. 44, pp. 105-117, 2002.
10. Page, E., Approximations to the cumulative normal function and it's inverse for use on a pocket calculator, Applied Statistic, Vol. 26, pp. 75-76, 1977.
11. Starr, M. K. and Miller, D. W., Inventory Control, Theory and Practice. Prentice-Hall, Englewood Cliffs, New Jersy, 1962.
12. Srinivas, N. and Deb, K., Multiobjective function optimization using nondominated sorting genetic algorithms, Evolutionary Computation, Vol. 2, No. 3, pp. 221-248, Fall 1995.
13. Tocher, K. D., The Art of Simulation, English University Press, London, 1963.