135 search results - page 14 / 27 » Optimal control problem on insect pest populations |
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
We present a simple ant model that solves a discrete foraging problem. We describe simulations and provide a complete convergence analysis: we show that the ant population compute...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. We present two important variations on a recently successful bloat control technique, Dynamic Maximum Tree Depth, intended at further improving the results and extending ...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Cellular genetic algorithms (cGAs) are mainly characterized by their spatially decentralized population, in which individuals can only interact with their neighbors. In this work,...
GECCO
2011
Springer
12 years 11 months ago
2011
Springer
Novelty search is a recently proposed method for evolutionary computation designed to avoid the problem of deception, in which the fitness function guides the search process away...