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- W4327773074 abstract "There has been a lot of advancement in the automotive industry. With more and more electronic intervention, many previously used mechanical systems have been replaced by electrical and electronic ones. Here, to design something useful for the automotive industry which can ensure a more comfortable and safer journey for passengers riding a 4-wheeler vehicle. With all the new models and rising competition in the 4-wheeler market, it is evident that customers want full-ride comfort ensured to them. To simulate the scenario and optimize the points where the bumps affect the movement of the chassis and, in turn, the thorax and pelvis body parts for the passenger in this paper. Genetic Algorithm (GA) to maximize and minimize the suspension to test the effect on the body (Passenger Seat) for the given scenario. GA is an optimization approach which aims to determine such input values in order to obtain the optimal output values or outcomes. The MATLAB and Simulink are used in this paper to carry out the whole of the simulation, including coding." @default.
- W4327773074 created "2023-03-19" @default.
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- W4327773074 date "2022-12-14" @default.
- W4327773074 modified "2023-09-26" @default.
- W4327773074 title "Designing and Optimizing an Active Car Suspension with Genetic Algorithm" @default.
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- W4327773074 doi "https://doi.org/10.1109/efea56675.2022.10063744" @default.
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