A Decomposition-Based Evolutionary Algorithm with Adaptive Weight Adjustment for Vehicle Crashworthiness Problem
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.
KeywordsEvolutionary algorithm Vehicle crashworthiness problem Adaptive weight adjustment
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).
- 1.Du Bois, P., et al.: Vehicle crashworthiness and occupant protection. American Iron and Steel Institute, Southfield, MI, USA, Report (2004)Google Scholar
- 3.Van Veldhuizen, D.A.: Multiobjective Evolutionary Algorithms: Classifications, Analyses, and New Innovations. Air Force Institute of Technology Wright Patterson AFB, OH, USA (1999)Google Scholar
- 17.Al Mpubayed, N., Petrovski, A., McCall, J.: D2MOPSO: MOPSO based on decomposition and dominance with archiving using crowding distance in objective and solution spaces. Evol. Comput. 22(1), 47–78 (2014)Google Scholar
- 19.Dai, C., Lei, X.: A Decomposition-Based Multiobjective Evolutionary Algorithm with Adaptive Weight Adjustment. Complexity, 2018Google Scholar
- 22.Deb, K., Sinha, A., Kukkonen, S.: Multi-objective test problems, linkages, and evolutionary methodologies. In: Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation GECCO’06, Seattle, WA, pp. 1141–1148 (2006)Google Scholar