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GECCO
2004
Springer
14 years 1 months ago
Self Adaptation of Operator Rates in Evolutionary Algorithms
Abstract. This work introduces a new evolutionary algorithm that adapts the operator probabilities (rates) while evolves the solution of the problem. Each individual encodes its ge...
Jonatan Gomez
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
14 years 1 months ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
GECCO
2004
Springer
211views Optimization» more  GECCO 2004»
14 years 1 months ago
Adaptive and Evolvable Network Services
This paper proposes an evolutionary framework where a network service is created from a group of autonomous agents that interact and evolve. Agents in our framework are capable of ...
Tadashi Nakano, Tatsuya Suda
EUROGP
2003
Springer
119views Optimization» more  EUROGP 2003»
14 years 1 months ago
Evolving Cellular Automata to Grow Microstructures
The properties of engineering structures such as cars, cell phones or bridges rely on materials and on the properties of these materials. The study of these properties, which are d...
David Basanta, Peter J. Bentley, Mark A. Miodownik...
GECCO
2003
Springer
14 years 1 months ago
What Makes a Problem GP-Hard? Validating a Hypothesis of Structural Causes
Abstract. This paper provides an empirical test of a hypothesis, which describes the effects of structural mechanisms in genetic programming. In doing so, the paper offers a test p...
Jason M. Daida, Hsiaolei Li, Ricky Tang, Adam M. H...