424 search results - page 56 / 85 » Improving Evolutionary Algorithms with Scouting |
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...
CEC
2010
IEEE
13 years 9 months ago
2010
IEEE
In this paper, we present a memetic algorithm with novel local optimizer hybridization strategy for constrained optimization. The developed MA consists of multiple cycles. In each ...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
The tagging problem in natural language processing is to find a way to label every word in a text as a particular part of speech, e.g., proper noun. An effective way of solving th...
SOCO
2010
Springer
2010
Springer
Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics
13 years 6 months ago
Local genetic algorithms have been designed with the aim of providing effective intensiļ¬cation. One of their most outstanding features is that they may help classical local searc...
CEC
2010
IEEE
13 years 9 months ago
2010
IEEE
An evolutionary approach for the optimization of microarray coatings produced via sol-gel chemistry is presented. The aim of the methodology is to face the challenging aspects of t...