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This paper presents the optimal design of a passive suspension system for a 6 × 6 military armored vehicle using a genetic algorithm to enhance ride quality. The study formulates the problem as both a single and multi-objective optimization to improve ride comfort and dynamic performance, achieving significant enhancements in vehicle ride performance and dynamic tire loads. An innovative design tool is introduced that utilizes data from the Pareto front for regression analysis to predict optimal ride comfor

Author

Pedro Motta Nunes

Language

EN