92 search results - page 16 / 19 » Entropy-Driven Parameter Control for Evolutionary Algorithms |
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Many real-world optimization problems are dynamic in nature. The interest in the Evolutionary Algorithms (EAs) community in applying EA variants to dynamic optimization problems h...
GECCO
2009
Springer
14 years 5 days ago
2009
Springer
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
GECCO
2004
Springer
14 years 28 days ago
2004
Springer
This paper describes POPE-GP, a system that makes use of the NSGA-II multiobjective evolutionary algorithm as an alternative, parameter-free technique for eliminating program bloat...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
There are many innovative proposals introduced in the literature under the evolutionary computation field, from which estimation of distribution algorithms (EDAs) is one of them....