A Unified Approach For Multi Objective Redundancy Allocation Problem

This paper represents to solve the redundancy allocation problem (RAP) occurring in optimization technique. The past research of RAP is basically single objective, which is focused on optimization of only one objective. We can genuinely combine more important aspects like cost, volume and weight to this which will lead to a multiple objective redundancy allocation problem (MORAP). The objective of this paper is to solve the RAP problem and makes it more comfortable for use. The most important technique of this paper is Multi-objective evolutionary algorithms (MOEA) that can be used to optimize the solutions in MORAP. From the experimental results, it is obvious that MOEA will give better compromising solutions in the form of non-dominated solutions instead of subsequent joining of a number of single objective approaches.