Multi-Objective Optimization of Vehicle Passive Suspension System Using NSGA-II, SPEA2 and PESA-II. (2016)

• Record Type: Journal Article
• Authors: Gadhvi, Bhargav; Savsani, Vimal; Patel, Vivek
• Is Part Of: Procedia technology. Volume 23(2016)
• Page Start: 361
• Page End: 368
• Publication Date: 2016
• Subjects: Multi-objective optimization -- half car ride model -- NSGA-II -- SPEA2 -- PESA-II; Technology -- Congresses; Technology -- Periodicals; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Technology; Conference proceedings; Periodicals; 605
• DOI: 10.1016/j.protcy.2016.03.038
• Languages: English
• ISSNs: 2212-0173

Abstract

Abstract: This paper presents a constrained multi-objective optimization study of vehicle passive suspension system which is modeled as a passive half car ride model. For multi-objective optimization the most widely used multi-objective evolutionary algorithms such as NSGA-II, SPEA2 and PESA-II are employed. The potential of the MOEAs in obtaining the better Pareto front of optimal solutions and in maintaining the diversity among the optimal solutions is tested by conducting 2 and 3-objective optimization studies. The results show that NSGA-II is able to yield a better Pareto front in terms of minimizing the objective vector but SPEA2 and PESA-II has a better diversified set of optimal solutions. Overall, all three algorithms have performed equally in optimizing the problem with the nature of the equations is second order ordinary differential equations.