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GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
16 years 21 days ago
Dynamical blueprints: exploiting levels of system-environment interaction
Developmental systems typically produce a phenotype through a generative process whose outcome depends on feedback from the environment. In most artificial developmental systems, ...
Nicolás S. Estévez, Hod Lipson
GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
16 years 21 days ago
Heuristic speciation for evolving neural network ensemble
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...
Shin Ando
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
16 years 21 days ago
Knowledge reuse in genetic programming applied to visual learning
We propose a method of knowledge reuse for an ensemble of genetic programming-based learners solving a visual learning task. First, we introduce a visual learning method that uses...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
16 years 21 days ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
GECCO
2007
Springer
189views Optimization» more  GECCO 2007»
16 years 21 days ago
A more bio-plausible approach to the evolutionary inference of finite state machines
With resemblance of finite-state machines to some biological mechanisms in cells and numerous applications of finite automata in different fields, this paper uses analogies an...
Hooman Shayani, Peter J. Bentley