A study on multi objective optimization using de novo programming under crisp fuzzy and type 2 fuzzy environment

Abstract

In the dominion of multi-objective optimization problem the decision maker only ob- newlinetains a compromise solution or trade-off solution. These trade-off solutions are the char- newlineacteristics of sub-optimal, inefficient system configuration. But, it is preferable in all newlinerespect to arrive at a feasible solution which optimizes all the objectives at the same newlinetime. If this can be achieved then the system is said to be optimally designed. In mod- newlineern period, the concept of optimal system design (if needed by extending the existed newlineresources) is more important than to optimize a given system with fixed resources. An- newlineother feature of constrained optimization problem is that the constraints are not satisfied newlineto the equality in many cases. In mathematical techniques, the method of solution as newlinewell as the constraints affects the solution.