An application of Genetic Algorithm in solving an inventory model with advance payment and interval valued inventory costs

Mathematical and Computer Modelling

Volumn 49, Issue 5-6, 2009, Pages 893-905

  Gupta, R K ^a   Bhunia, A K ^b   Goyal, S K ^c  

^a UNIVERSITY OF NORTH BENGAL   (India)

^b UNIVERSITY OF BURDWAN   (India)

^c John Molson School of Business   (Canada)

Author keywords

Advance payment; Genetic algorithm; Interval numbers; Interval order relations; Inventory

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; DISTRIBUTION OF GOODS; GENETIC ALGORITHMS; HIGHWAY BRIDGES; INTEGER PROGRAMMING; INVENTORY CONTROL; OPTIMIZATION; RESOURCE VALUATION; SENSITIVITY ANALYSIS;

ADVANCE PAYMENT; GENETIC ALGORITHM; INTERVAL NUMBERS; INTERVAL ORDER RELATIONS; INVENTORY;

CONSTRAINED OPTIMIZATION;

EID: 59349085932     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2008.09.015     Document Type: Article

References (15)

1. A.K. Maiti, A.K. Bhunia, M. Maiti, Some inventory problems via genetic algorithms, Ph.D. Thesis, Department of Mathematics. Vidyasagar University, India, 2007
2. Dimopoulos C., and Zalzala A.M.S. Recent developments in evolutionary computation for manufacturing optimization: Problems, solutions, and comparisons. IEEE Transactions on Evolutionary Computation 4 (2000) 93-113
3. Aytug H., Khouja M., and Vergara F.B. A review of the use of genetic algorithms to solve production and operations management problems. The International Journal of Production Research 41 (2003) 3955-4009
4. Rezaei J., and Davoodi M. Genetic Algorithm for Inventory Lot-sizing with Supplier Selection under Fuzzy Demand and Costs Advances in Applied Artificial Intelligence vol. 4031 (2006), Springer-Verlag, Berlin Heidelberg pp. 1100-1110
5. Rezaei J., and Davoodi M. Multi-item Fuzzy Inventory Model with Three Constraints: Genetic Algorithm Approach. Lecture Notes in Artificial Intelligence vol. 3809 (2005), Springer-Verlag, Berlin Heidelberg 1120-1125
6. Khouja M., Michalawicz Z., and Wilmot M. The use of genetic algorithms to solve the economic lot-size scheduling problem. European Journal of Operational Research 110 (1988) 509-524
7. Mahapatra N.K., Bhunia A.K., and Maiti M. A multiobjective model of wholesaler- retailers problem via genetic algorithm. Journal of Applied. Mathematics & Computing 19 1-2 (2005) 397-414
8. Pal P., et al. An application of real-coded genetic algorithm (for mixed integer non-linear programming in an optimal two-warehouse inventory policy for deteriorating items with a linear trend in demand and a fixed planning horizon). International Journal of Computer Mathematics 82 2 (2005) 167-175
9. Sarkar R., and Newton C. A genetic algorithm for solving economic lot-size scheduling problem. Computers and Industrial Engineering 42 (2002) 189-198
10. R.K Gupta, A.K. Bhunia, S.K. Goyal, An application of genetic algorithm in a marketing oriented inventory model with interval valued inventory costs and three-component demand rate dependent on displayed stock level, Applied Mathematics and Computation, 192 (2) 466-478
11. Mondal S., and Maiti M. Multi-item fuzzy EOQ models using genetic algorithm. Computers and Industrial Engineering 44 (2003) 105-117
12. Ishibuchi H., and Tanaka H. Multiobjective programming in optimization of the interval objective function. European Journal of Operational Research 48 (1990) 219-225
13. Chanas S., and Kutcha D. Multiobjective programming in the optimization of interval objective functions-A generalized approach. European Journal of Operational Research 94 (1996) 594-598
14. Sengupta A., and Pal T.K. Theory and methodology on comparing interval numbers. European Journal of Operational Research 127 (2000) 28-43
15. Mahato S.K., and Bhunia A.K. Interval-arithmetic-oriented interval computing technique for global optimization. Applied Mathematics Research Express (2006) 1-19