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PPSN
2004
Springer
13 years 10 months ago
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 s...
Krzysztof Wloch, Peter J. Bentley
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
13 years 10 months ago
Optimization of passenger car design for the mitigation of pedestrian head injury using a genetic algorithm
The problem of pedestrian injury is a significant one throughout the world. In 2001, there were 4724 pedestrian fatalities in Europe and 4882 in the US. Significant advances have ...
Emma Carter, Steve Ebdon, Clive Neal-Sturgess
CISIS
2011
IEEE
12 years 4 months ago
Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations
—Computational performance increasingly depends on parallelism, and many systems rely on heterogeneous resources such as GPUs and FPGAs to accelerate computationally intensive ap...
Marcin Bogdanski, Peter R. Lewis, Tobias Becker, X...
EC
2010
157views ECommerce» more  EC 2010»
13 years 4 months ago
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains
Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex cont...
Daniel Molina, Manuel Lozano, Carlos García...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
13 years 10 months ago
Exploring extended particle swarms: a genetic programming approach
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...
Riccardo Poli, Cecilia Di Chio, William B. Langdon