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GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
13 years 10 months ago
Evolutionary tree genetic programming
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
Ján Antolík, William H. Hsu
GECCO
2005
Springer
147views Optimization» more  GECCO 2005»
13 years 10 months ago
Applying price's equation to survival selection
Several researchers have used Price’s equation (from biology theory literature) to analyze the various components of an Evolutionary Algorithm (EA) while it is running, giving i...
Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A....
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
13 years 10 months ago
Fitness-based neighbor selection for multimodal function optimization
We propose a selection scheme called Fitness-based Neighbor Selection (FNS) for multimodal optimization. The FNS is aimed for ill-scaled and locally multimodal domain, both found ...
Shin Ando, Shigenobu Kobayashi
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
13 years 10 months ago
Post-processing clustering to reduce XCS variability
XCS is a stochastic algorithm, so it does not guarantee to produce the same results when run with the same input. When interpretability matters, obtaining a single, stable result ...
Flavio Baronti, Alessandro Passaro, Antonina Stari...
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
13 years 10 months ago
Heuristic rules embedded genetic algorithm to solve in-core fuel management optimization problem
Because of the large number of possible combinations for the fuel assembly loading in the core, the design of the loading pattern (LP) is a complex optimization problem. It requir...
Fatih Alim, Kostadin Ivanov
GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
13 years 10 months ago
A genetic algorithm encoding for a class of cardinality constraints
A genetic algorithm encoding is proposed which is able to automatically satisfy a class of important cardinality constraints where the set of distinct values of the design variabl...
Helio J. C. Barbosa, Afonso C. C. Lemonge
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
13 years 10 months ago
Advanced models of cellular genetic algorithms evaluated on SAT
Cellular genetic algorithms (cGAs) are mainly characterized by their spatially decentralized population, in which individuals can only interact with their neighbors. In this work,...
Enrique Alba, Hugo Alfonso, Bernabé Dorrons...
GECCO
2005
Springer
209views Optimization» more  GECCO 2005»
13 years 10 months ago
Genetic algorithm optimization of superresolution parameters
Superresolution is the process of producing a high resolution image from a collection of low resolution images. This process has potential application in a wide spectrum of fields...
Barry Ahrens
GECCO
2005
Springer
13 years 10 months ago
On the practical genetic algorithms
This paper offers practical design-guidelines for developing efficient genetic algorithms (GAs) to successfully solve realworld problems. As an important design component, a prac...
Chang Wook Ahn, Sanghoun Oh, Rudrapatna S. Ramakri...
GECCO
2005
Springer
169views Optimization» more  GECCO 2005»
13 years 10 months ago
Inexact pattern matching using genetic algorithm
A Genetic Algorithm for graphical pattern matching based on angle matching had been proposed. It has proven quite effective in matching simple patterns. However, the algorithm nee...
Surapong Auwatanamongkol