5114 search results - page 402 / 1023 » Learning for Evolutionary Design |
178
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MFCS
2007
Springer
16 years 1 months ago
2007
Springer
A framework for analyzing the computational capabilities and the limitations of the evolutionary process of random change guided by selection was recently introduced by Valiant [V...
198
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SGAI
2007
Springer
16 years 1 months ago
2007
Springer
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
203
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GECCO
2005
Springer
16 years 1 months ago
2005
Springer
This paper offers a novel approach to coevolution based on the sociological theory of symbolic interactionism. It provides a multi-agent computational model along with experimenta...
191
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GECCO
2005
Springer
16 years 1 months ago
2005
Springer
This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominat...
218
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GECCO
2004
Springer
16 years 1 months ago
2004
Springer
This paper describes a continuous estimation of distribution algorithm (EDA) to solve decomposable, real-valued optimization problems quickly, accurately, and reliably. This is the...