Optimising the Performance of a Formula One Car Using a Genetic Algorithm

Formula One motor racing is a rich sport that spends millions on research and development of highly optimized cars. Here we describe the use of a genetic algorithm to optimize 66 setup parameters for a simulation of a Formula One car and demonstrate performance improvements (faster lap times) better than all other methods tested.

• Type: Conference
• Year: 2004
• Where: PPSN
• Authors: Krzysztof Wloch, Peter J. Bentley
• Keywords: Distributed And Parallel Computing, Formula One, Formula One Car, Formula One Motor, PPSN 2004