Special Issue Article Open Access

Optimum Design of Disc Brake Using NSGAII Algorithm

Abstract

This work presents an application of improved Elitist Non-dominated Sorting Genetic Algorithm version II (NSGAII), to multi-objective disc brake optimization problem. The disc brake optimization problem is considered as a two-objective problem. The first objective is the minimization of the mass of the brake and the second objective is the minimization of the stopping time. The disc brake optimization model has four design variables and five inequality constraints. To improve the performance of NSGA-II, two modifications are proposed. One modification is incorporation of Virtual Mapping Procedure (VMP), and the other is introduction of controlled elitism in NSGA-II. The main objective of this project is to apply NSGA-II Algorithm for optimizing the design of Disc Brake for minimization of brake mass and stopping time and to compare the results obtained by NSGA-II Algorithm with that of the results already published for Genetic Algorithm.

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