CAN evolutionary theory help rival Formula 1 teams break Michael Schumacher’s seemingly unassailable hold on top-flight motor racing? Computer scientists at University College London think it might.
Peter Bentley and Krzysztof Wloch have used genetic algorithms – software that mimics evolution’s drive for fitness – to breed the best tuning configurations for racing cars. Using the technique, they shaved a second off the best time achieved by an expert. They will present their results at a conference on evolutionary systems in Seattle next week.
Genetic algorithms mimic the principles of evolution to breed solutions to a problem. A population of potential solutions…
