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A genetic algorithm–based nonlinear scaling method for optimal motion cueing algorithm in driving simulator

Research article (Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering, 2018) · cited 42× · AI/ML
academia openalex:W2804274544
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A genetic algorithm–based nonlinear scaling method for optimal motion cueing algorithm in driving simulator

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A genetic algorithm–based nonlinear scaling method for optimal motion cueing algorithm in driving simulator is a scholarly article[1].

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  • A genetic algorithm–based nonlinear scaling method for optimal motion cueing algorithm in driving simulator's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A genetic algorithm–based nonlinear scaling method for optimal motion cueing algorithm in driving simulator. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-genetic-algorithmbased-nonlinear-scaling-method-for-optimal-motion-cueing-algorithm-in-driving-simulator
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BibTeX @misc{4ortxyz_a-genetic-algorithmbased-nonlinear-scaling-method-for-optimal-motion-cueing-algorithm-in-driving-simulator_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A genetic algorithm–based nonlinear scaling method for optimal motion cueing algorithm in driving simulator}}, year = {2026}, url = {https://4ort.xyz/entity/a-genetic-algorithmbased-nonlinear-scaling-method-for-optimal-motion-cueing-algorithm-in-driving-simulator}, note = {Accessed: 2026-05-24}}
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