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• W2397719797 abstract "This work deals with parameter identification of a vehicle using population based algorithms such as Particle Swarm Optimization (PSO), Artificial Bee Colony Optimization (ABC) and Genetic Algorithm (GA). Full vehicle model with seven degree of freedom (DoF) is employed, and two objective functions based on reference and computed responses are proposed. Solving the optimization problem vehicle mass, moments of inertia and vehicle center of gravity parameters, which are necessary for later applications such as vehicle control and performance analysis, are obtained. It is demonstrated the proposed approach achieves to determine unknown parameters with negligible relative errors in spite of noise interference." @default.
• W2397719797 created "2016-06-24" @default.
• W2397719797 creator A5025386179 @default.
• W2397719797 date "2015-07-08" @default.
• W2397719797 modified "2023-09-24" @default.
• W2397719797 title "Vehicle parameter identification using population based algorithms" @default.
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• W2397719797 hasPublicationYear "2015" @default.
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