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GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
13 years 11 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
GECCO
2000
Springer
101views Optimization» more  GECCO 2000»
13 years 11 months ago
Evolutionary Design of Behaviors for Action-Based Environment Modeling by a Mobile Robot
This paper describes an evolutionary way to acquire behaviors of a mobile robot for recognizing environments. We have proposed AEM (Action-based Environment Modeling) approach for...
Seiji Yamada
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
13 years 11 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
EVOW
2008
Springer
13 years 9 months ago
A Study of Some Implications of the No Free Lunch Theorem
We introduce the concept of "minimal" search algorithm for a set of functions to optimize. We investigate the structure of closed under permutation (c.u.p.) sets and we c...
Andrea Valsecchi, Leonardo Vanneschi
AAAI
2010
13 years 9 months ago
Local Search in Histogram Construction
The problem of dividing a sequence of values into segments occurs in database systems, information retrieval, and knowledge management. The challenge is to select a finite number ...
Felix Halim, Panagiotis Karras, Roland H. C. Yap