Optimal Redundancy Allocation for Bridge Network System with Fuzzy Parameters

Keywords

Redundancy allocation, Bridge network system, Genetic Algorithm, Fuzzy parameter, Defuzzification, Statistical Beta Distribution

Abstract

The goal of this paper is to formulate and solve the redundancy allocation problem with fuzzy parameters as a non-convex integer nonlinear constrained optimization problem. Here, redundancy allocation problem of bridge network system with fuzzy parameters has been considered and its solution methodology has been proposed. The solution methodology is based on defuzzification of fuzzy parametric values and use of real coded genetic algorithm. Here, a new defuzzification technique based on statistical Beta distribution has been used for defuzzification. For solving the constrained optimization problems, we have used genetic algorithm based penalty function technique. Finally, a numerical example has been presented for illustration purpose.

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