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GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
14 years 7 days ago
Bounding XCS's parameters for unbalanced datasets
This paper analyzes the behavior of the XCS classifier system on imbalanced datasets. We show that XCS with standard parameter settings is quite robust to considerable class imbal...
Albert Orriols-Puig, Ester Bernadó-Mansilla
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
14 years 7 days ago
Investigation on artificial ant using analytic programming
The paper deals with a alternative tool for symbolic regression
Zuzana Oplatková, Ivan Zelinka
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
14 years 7 days ago
Mating networks in steady state genetic algorithms are scale free
M. Kivanc Oner, Ivan I. Garibay, Annie S. Wu
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
14 years 7 days ago
The parallel Nash Memory for asymmetric games
Coevolutionary algorithms search for test cases as part of the search process. The resulting adaptive evaluation function takes away the need to define a fixed evaluation function...
Frans A. Oliehoek, Edwin D. de Jong, Nikos A. Vlas...
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
14 years 7 days ago
Parisian evolution with honeybees for three-dimensional reconstruction
This paper introduces a novel analogy with the way in which honeybee colonies operate in order to solve the problem of sparse and quasi dense reconstruction. To successfully solve...
Gustavo Olague, Cesar Puente
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
14 years 7 days ago
Comparison of multi-objective evolutionary algorithms in optimizing combinations of reinsurance contracts
Our paper concerns optimal combinations of different types of reinsurance contracts. We introduce a novel approach based on the Mean-Variance-Criterion to solve this task. Two sta...
Ingo Oesterreicher, Andreas Mitschele, Frank Schlo...
GECCO
2006
Springer
172views Optimization» more  GECCO 2006»
14 years 7 days ago
Multi-objective optimisation of the protein-ligand docking problem in drug discovery
The pharmaceutical industry is facing an ever-increasing demand to discover novel drugs that are more effective and safer than existing ones. The industry faces huge problem in im...
A. Oduguwa, A. Tiwari, S. Fiorentino, R. Roy
GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
14 years 7 days ago
An effective genetic algorithm for the minimum-label spanning tree problem
Given a connected, undirected graph G with labeled edges, the minimum-label spanning tree problem seeks a spanning tree on G to whose edges are attached the smallest possible numb...
Jeremiah Nummela, Bryant A. Julstrom
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
14 years 7 days ago
A new generation alternation model for differential evolution
We present a modified version of Differential Evolution (DE) for locating the global minimum at a higher convergence velocity. The proposed model differs from conventional DE by a...
Nasimul Noman, Hitoshi Iba
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
14 years 7 days ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba