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GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
14 years 27 days ago
Parameterized versus generative representations in structural design: an empirical comparison
Any computational approach to design, including the use of evolutionary algorithms, requires the transformation of the domain-specific knowledge into a formal design representatio...
Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De ...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 11 months ago
Selecting for evolvable representations
Evolutionary algorithms tend to produce solutions that are not evolvable: Although current fitness may be high, further search is impeded as the effects of mutation and crossover ...
Joseph Reisinger, Risto Miikkulainen
NIPS
2003
13 years 8 months ago
A Biologically Plausible Algorithm for Reinforcement-shaped Representational Learning
Significant plasticity in sensory cortical representations can be driven in mature animals either by behavioural tasks that pair sensory stimuli with reinforcement, or by electro...
Maneesh Sahani
GECCO
2003
Springer
156views Optimization» more  GECCO 2003»
14 years 18 days ago
Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic
Over the last few years, a few approaches have been proposed aiming to combine genetic and evolutionary computation (GECCO) with inductive logic programming (ILP). The underlying r...
Flaviu Adrian Marginean
GECCO
2005
Springer
14 years 27 days ago
Theme preservation and the evolution of representation
The identification of mechanisms by which constraints on phenotypic variability are tuned in nature, and the implementation of these mechanisms in Evolutionary Algorithms (EAs) ca...
Keki M. Burjorjee, Jordan B. Pollack