Boltzmann Weighted Selection Improves Performance of N 00014-85-K-0124 Genetic Algorithms

@inproceedings{MichaelBoltzmannWS,
  title={Boltzmann Weighted Selection Improves Performance of N 00014-85-K-0124 Genetic Algorithms},
  author={Michael and De and R J La and Maza and Bruce Tidor}
}
Modifiable Boltzmann selective pressure is investigated as a tool to control variability in optimizations using genetic algorithms. An implementation of variable selective pressure, modeled after the use of temperature as a parameter in simulated annealing approaches, is described. The convergence behavior of optimization runs is illustrated as a function of selective pressure; the method is compared to a genetic algorithm lacking this control feature and is shown to exhibit superior… CONTINUE READING