A Decomposition-Based Evolutionary Algorithm with Adaptive Weight Adjustment for Vehicle Crashworthiness Problem

Abstract

In the automotive industry, the crashworthiness design of vehicles is of special importance. In this work, a multi-objective model for the vehicle design which minimizes three objectives, weight, acceleration characteristics, and toe-board intrusion, is considered, and a novel evolutionary algorithm based on decomposition and adaptive weight adjustment is designed to solve this problem. The experimental results reveal that the proposed algorithm works better than MOEA/D MOEA/D-AWA and NSGAII on this problem.