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GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
10 years 5 months ago
Learning basic navigation for personal satellite assistant using neuroevolution
The Personal Satellite Assistant (PSA) is a small robot proposed by NASA to assist astronauts who are living and working aboard the space shuttle or space station. To help the ast...
Yiu-Fai Sit, Risto Miikkulainen
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
10 years 5 months ago
Resource-limited genetic programming: the dynamic approach
Resource-Limited Genetic Programming is a bloat control technique that imposes a single limit on the total amount of resources available to the entire population, where resources ...
Sara Silva, Ernesto Costa
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
10 years 5 months ago
Genetic programming as a method to develop powerful predictive models for clinical diagnosis
In the field of medicine it is of vital importance to accurately predict the presence of a disease (diagnostic prediction) or the future occurrence of a certain event (prognostic...
Ivar Siccama, Maarten Keijzer
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
10 years 5 months ago
Niching in evolution strategies
Evolutionary Algorithms (EAs), popular search methods for solving search and optimization problems, are known for successful and fast location of single optimal solutions. However,...
Ofer M. Shir, Thomas Bäck
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
10 years 5 months ago
An evolutionary algorithm to generate ellipsoid network intrusion detectors
Joseph M. Shapiro, Gary B. Lamont, Gilbert L. Pete...
GECCO
2005
Springer
121views Optimization» more  GECCO 2005»
10 years 5 months ago
An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection
This paper introduces hyper-ellipsoids as an improvement to hyper-spheres as intrusion detectors in a negative selection problem within an artificial immune system. Since hyper-s...
Joseph M. Shapiro, Gary B. Lamont, Gilbert L. Pete...
GECCO
2005
Springer
121views Optimization» more  GECCO 2005»
10 years 5 months ago
Using a Markov network model in a univariate EDA: an empirical cost-benefit analysis
Siddhartha Shakya, John A. W. McCall, Deryck F. Br...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
10 years 5 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez
GECCO
2005
Springer
197views Optimization» more  GECCO 2005»
10 years 5 months ago
Breeding swarms: a GA/PSO hybrid
Abstract. In this paper we propose a novel hybrid (GA/PSO) algorithm, Breeding Swarm, combining the strengths of particle swarm optimization with genetic algorithms. The hybrid alg...
Matthew Settles, Terence Soule
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
10 years 5 months ago
Computing the epistasis variance of large-scale traveling salesman problems
The interaction among variables of an optimization problem is known as epistasis, and its degree is an important measure for the nonlinearity of the problem. We address the proble...
Dong-il Seo, Byung Ro Moon
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