BMCBI
2004
13 years 4 months ago
2004
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...
IJCIA
2008
13 years 4 months ago
2008
Abstract: While code division multiple access (CDMA) is becoming a promising cellular communication system, the design for a CDMA cellular system configuration has posed a practica...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
GECCO
2006
Springer
13 years 8 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...
IPPS
2002
IEEE
13 years 9 months ago
2002
IEEE
In the sub-micron technology era, wire delays are becoming much more important than gate delays, making it particularly attractive to go for clustered designs. A common form of cl...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
Estimation of Distribution Algorithms (EDAs) are new promising methods in the field of genetic and evolutionary algorithms. In the case of conventional Genetic and Evolutionary Al...
PPSN
2004
Springer
13 years 9 months ago
2004
Springer
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
GECCO
2004
Springer
13 years 9 months ago
2004
Springer
Estimation of distribution algorithms (EDA) are similar to genetic algorithms except that they replace crossover and mutation with sampling from an estimated probability distributi...
GECCO
2005
Springer
13 years 9 months ago
2005
Springer
A new approach based on Estimation Distribution Algorithms for constrained multiobjective shape optimization is proposed in this article. Pareto dominance and feasibility rules ar...