A genetic algorithm approach to best scenarios selection for performance evaluation of vehicle active safety systems

A genetic algorithm approach to best scenarios selection for performance evaluation of vehicle active safety systems

Indiana University-Purdue University Indianapolis (IUPUI) === Gholamjafari, Ali MSECE, Purdue University, May 2015. A Genetic Algorithm Approach to Best Scenarios Selection for Performance Evaluation of Vehicle Active Safety Systems . Major Professor: Dr. Lingxi Li. One of the most crucial task...

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Bibliographic Details
Main Author: Gholamjafari, Ali
Other Authors: Li, Lingxi
Language:en_US
Published: 2016
Subjects:
Genetic Algorithm
Optimization
Intelligent Transportation Systems
Online Access:http://hdl.handle.net/1805/7922

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