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GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
9 years 8 months ago
Distributed hyper-heuristics for real parameter optimization
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance tha...
Marco Biazzini, Balázs Bánhelyi, Alb...
GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
9 years 8 months ago
Discrete dynamical genetic programming in XCS
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
Richard Preen, Larry Bull
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
9 years 8 months ago
Why one must use reweighting in estimation of distribution algorithms
We study the update of the distribution in Estimation of Distribution Algorithms, and show that a simple modiļ¬cation leads to unbiased estimates of the optimum. The simple modiļ...
Fabien Teytaud, Olivier Teytaud
GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
9 years 8 months ago
The impact of network topology on self-organizing maps
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
Fei Jiang, Hugues Berry, Marc Schoenauer
GECCO
2009
Springer
138views Optimization» more  GECCO 2009»
9 years 8 months ago
Analysis of micro-behavior and bounded rationality in double auction markets using co-evolutionary GP
We investigate the dynamics of trader behaviors using a co-evolutionary genetic programming system to simulate a double-auction market. The objective of this study is twofold. Fir...
Shu-Heng Chen, Ren-Jie Zeng, Tina Yu
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
9 years 8 months ago
Why evolution is not a good paradigm for program induction: a critique of genetic programming
We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are ...
John R. Woodward, Ruibin Bai
GECCO
2009
Springer
9 years 8 months ago
Evolved finite state controller for hybrid system
Jean-François Dupuis, Zhun Fan, Erik D. Goo...
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
9 years 8 months ago
Canonical representation genetic programming
Search spaces sampled by the process of Genetic Programming often consist of programs which can represent a function in many diļ¬€erent ways. Thus, when the space is examined it i...
John R. Woodward, Ruibin Bai
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