Research Article
Optimal System Design under Multi-Objective Decision making using De-Novo Concept: A New Approach
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 63 - Issue 12 |
| Published: February 2013 |
| Authors: Sayanta Chakraborty, Debasish Bhattacharya |
10.5120/10519-5496
|
Sayanta Chakraborty, Debasish Bhattacharya . Optimal System Design under Multi-Objective Decision making using De-Novo Concept: A New Approach. International Journal of Computer Applications. 63, 12 (February 2013), 20-27. DOI=10.5120/10519-5496
@article{ 10.5120/10519-5496,
author = { Sayanta Chakraborty,Debasish Bhattacharya },
title = { Optimal System Design under Multi-Objective Decision making using De-Novo Concept: A New Approach },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 63 },
number = { 12 },
pages = { 20-27 },
doi = { 10.5120/10519-5496 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Sayanta Chakraborty
%A Debasish Bhattacharya
%T Optimal System Design under Multi-Objective Decision making using De-Novo Concept: A New Approach%T
%J International Journal of Computer Applications
%V 63
%N 12
%P 20-27
%R 10.5120/10519-5496
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In the realm of multi-objective optimization problem the decision maker only obtains a compromise solution or trade-off solution. These trade-off solutions are the characteristics of sub-optimal, inefficient system configuration. But, it is preferable in all respect to arrive at a feasible solution which optimizes all the objectives at the same time. If this can be achieved then the system is said to be optimally designed. In modern era, the concept of optimal system design (if needed by extending the existed resources) is more important than to optimize a given system with fixed resources. Using De-Novo programming technique one can design an optimal system. The aim of this paper is to present a new approach of applying De-Novo programming technique for optimal design of a system. The applicability of the method has been illustrated through examples. The comparisons of the solutions obtained by the new approach and that of the existing method have been placed
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