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GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
13 years 10 months ago
Parameter sweeps for exploring GP parameters
This paper describes our procedure and a software application for conducting large parameter sweep experiments in genetic and evolutionary computation research. Both procedure and...
Michael E. Samples, Jason M. Daida, Matthew J. Byo...
GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
13 years 10 months ago
The evolutionary computation approach to motif discovery in biological sequences
Finding motifs — patterns of conserved residues — within nucleotide and protein sequences is a key part of understanding function and regulation within biological systems. Thi...
Michael A. Lones, Andrew M. Tyrrell
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
13 years 10 months ago
Evolutionary computation and the c-value paradox
The C-value Paradox is the name given in biology to the wide variance in and often very large amount of DNA in eukaryotic genomes and the poor correlation between DNA length and p...
Sean Luke
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
13 years 10 months ago
Tactical UGV navigation and logistics planning
The Army’s push towards developing highly flexible military teams that combine manned and unmanned units requires significant advances in the intelligence of the unmanned units ...
Talib S. Hussain, Daniel Cerys, David J. Montana, ...
EVOW
2005
Springer
13 years 10 months ago
Automated Photogrammetric Network Design Using the Parisian Approach
We present a novel camera network design methodology based on the Parisian approach to evolutionary computation. The problem is partitioned into a set of homogeneous elements, whos...
Enrique Dunn, Gustavo Olague, Evelyne Lutton
IROS
2006
IEEE
193views Robotics» more  IROS 2006»
13 years 10 months ago
Adaptive Human-Robot Interaction System using Interactive EC
— We created a human-robot communication system that can adapt to user preferences that can easily change through communication. Even if any learning algorithms are used, evaluat...
Yuki Suga, Chihiro Endo, Daizo Kobayashi, T. Matsu...
ICTAI
2006
IEEE
13 years 10 months ago
Intelligent Optimization via Learnable Evolution Model
A new method for optimizing complex functions and systems is described that employs Learnable Evolution Model (LEM), a form of non-Darwinian evolutionary computation guided by mac...
Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A....
ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
13 years 10 months ago
Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem
This paper describes a new technique for automatically developing Artificial Neural Networks (ANNs) by means of an Evolutionary Computation (EC) tool, called Genetic Programming (G...
Daniel Rivero, Juan R. Rabuñal, Julian Dora...
GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
13 years 10 months ago
Analyzing the effects of module encapsulation on search space bias
Modularity is thought to improve the evolvability of biological systems [18, 22]. Recent studies in the field of evolutionary computation show that the use of modularity improves...
Ozlem O. Garibay, Annie S. Wu
CEC
2007
IEEE
13 years 11 months ago
Automated design of a MEMS resonator
—As the application and complexity of microelectromechanical (MEMS) devices increases, there is a corresponding need for automated design and optimization tools to augment engine...
Jason D. Lohn, William F. Kraus, Gregory S. Hornby