Author : Susanta Banik 1
Date of Publication :15th February 2018
Abstract: The De Novo Programming problems proposed by Zeleny is well known for its value in designing an optimal system by extending existed resources instead of finding the optimum in a given system with fixed resources. But still, now a General De Novo Programming Problem, having both maximizing and minimizing type of objectives, does not have a unique general algorithm for its solution. Especially when multi-objective problems are discussed in the light of De Novo hypothesis, different methods of solution directs decision maker to different solutions. This paper proposes a new method for solving General De Novo programming problem. In this approach, weighted goal programming technique has been used, where only one deviation variable has been taken. Problem-solving phases of the model are explained through illustrative example.
Reference :
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- M. Zeleny. “A case study in multi-objective design: De Novo programming, In Multiple Criteria Analysis’, Operational Methods, (Edited by P. Nijkamp and J. Spronk, Gower Publishing Co., Hampshire, pp.37- 52, 1981.
- M. Zeleny, ‘On the squandering of resources and profits via linear programming’, Interfaces, vol.11, No. 5, pp.101– 107,1981.
- M. Zeleny, ‘Optimal system design with multiple criteria: De-Novo Programming approach’, Engineering Cost and Production Economics, vol. 10, No. 2,pp.89-94, 1986. [
- M. Zeleny, Optimizing given systems vs. designing optimal systems: The de novo programming approach’, International journal of general systems, vol.17, No. 4, pp.295–307, 1990.
- M. Hessel,. and M. Zeleny, ‘Optimal system design: Towards new interpretation of shadow prices in linear programming’, Computers & operations research, vol. 14, No. 4, pp. 265-271, 1987.