834 search results - page 1 / 167 » On the Choice of the Population Size |
GECCO
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. Evolutionary Algorithms (EAs) are population-based randomized optimizers often solving problems quite successfully. Here, the focus is on the possible effects of changin...
EVOW
2010
Springer
13 years 12 months ago
2010
Springer
For many real-life engineering optimization problems, the cost of one objective function evaluation can take several minutes or hours. In this context, a popular approach to reduce...
GECCO
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. The parameter-less hierarchical Bayesian optimization algorithm (hBOA) enables the use of hBOA without the need for tuning parameters for solving each problem instance. T...
ICGA
1993
13 years 6 months ago
1993
It is part of the traditional lore of genetic algorithms that low mutation rates lead to efficient search of the solution space, while high mutation rates result in diffusion of s...
CEC
2005
IEEE
13 years 7 months ago
2005
IEEE
In this paper, we study the dynamical properties of the population based incremental learning (PBIL) algorithm when it uses truncation, proportional, and Boltzmann selection schema...