Sciweavers

801 search results - page 148 / 161
» Computational intelligence in solving bioinformatics problem...
Sort
View
GECCO
2010
Springer
129views Optimization» more  GECCO 2010»
15 years 4 months ago
A probabilistic functional crossover operator for genetic programming
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
Josh C. Bongard
GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
15 years 4 months ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim
GECCO
2010
Springer
220views Optimization» more  GECCO 2010»
15 years 3 months ago
Interday foreign exchange trading using linear genetic programming
Foreign exchange (forex) market trading using evolutionary algorithms is an active and controversial area of research. We investigate the use of a linear genetic programming (LGP)...
Garnett Carl Wilson, Wolfgang Banzhaf
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
15 years 26 days ago
An EDA based on local markov property and gibbs sampling
The key ideas behind most of the recently proposed Markov networks based EDAs were to factorise the joint probability distribution in terms of the cliques in the undirected graph....
Siddhartha Shakya, Roberto Santana
GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
15 years 26 days ago
Is "best-so-far" a good algorithmic performance metric?
In evolutionary computation, experimental results are commonly analyzed using an algorithmic performance metric called best-so-far. While best-so-far can be a useful metric, its u...
Nathaniel P. Troutman, Brent E. Eskridge, Dean F. ...