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

Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 157)

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.

Keywords

Evolutionary algorithm Vehicle crashworthiness problem Adaptive weight adjustment 

Notes

Acknowledgements

This work was supported by National Natural Science Foundations of China (no. 61502290, no. 61401263, no. 61672334), China Postdoctoral Science Foundation (no. 2015M582606), Fundamental Research Funds for the Central Universities (no. GK201603094, no. GK201603002), and Natural Science Basic Research Plan in Shaanxi Province of China (no. 2016JQ6045, no. 2015JQ6228).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Computer ScienceShaanxi Normal UniversityXi’anChina

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