Sciweavers

GECCO
2004
Springer
13 years 10 months ago
Shortcomings with Tree-Structured Edge Encodings for Neural Networks
In evolutionary algorithms a common method for encoding neural networks is to use a tree-structured assembly procedure for constructing them. Since node operators have difficulties...
Gregory Hornby
GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
13 years 10 months ago
A Genetic Algorithm to Improve Agent-Oriented Natural Language Interpreters
Babak Hodjat, Junichi Ito, Makoto Amamiya
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
13 years 10 months ago
Softening the Structural Difficulty in Genetic Programming with TAG-Based Representation and Insertion/Deletion Operators
In a series of papers [3-8], Daida et. al. highlighted the difficulties posed to Genetic Programming (GP) by the complexity of the structural search space, and attributed the probl...
Nguyen Xuan Hoai, Robert I. McKay
GECCO
2004
Springer
13 years 10 months ago
Validating a Model of Colon Colouration Using an Evolution Strategy with Adaptive Approximations
The colour of colon tissue, which depends on the tissue structure, its optical properties, and the quantities of the pigments present in it, can be predicted by a physics-based mod...
Dzena Hidovic, Jonathan E. Rowe
GECCO
2004
Springer
104views Optimization» more  GECCO 2004»
13 years 10 months ago
Optimization of Constructive Solid Geometry Via a Tree-Based Multi-objective Genetic Algorithm
This paper presents the multi-objective evolutionary optimization of three-dimensional geometry represented via constructive solid geometry (CSG), a binary tree of boolean operatio...
Karim Hamza, Kazuhiro Saitou
GECCO
2004
Springer
13 years 10 months ago
Schema Disruption in Chromosomes That Are Structured as Binary Trees
We are interested in schema disruption behavior when chromosomes are structured as binary trees. We give the definition of the disruption probability dp(H) of a schema H, and also...
William A. Greene
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
13 years 10 months ago
Evolving Wavelets Using a Coevolutionary Genetic Algorithm and Lifting
Finding a good wavelet for a particular application and type of input data is a difficult problem. Traditional methods of wavelet deus on abstract properties of the wavelet that ca...
Uli Grasemann, Risto Miikkulainen
GECCO
2004
Springer
13 years 10 months ago
Improving the Locality Properties of Binary Representations
Abstract. Choosing representations and operators that preserve locality between genotype and phenotype space is an important goal in EA design. In the GA literature there has been ...
Adrian Grajdeanu, Kenneth A. De Jong
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
13 years 10 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf