3422 search results - page 594 / 685 » Random Subset Optimization |
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
Adaptive representations allow evolution to explore the space of phenotypes by choosing the most suitable set of genotypic parameters. Although such an approach is believed to be ...
108
Voted
GECCO
2007
Springer
15 years 8 months ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
119
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
119
Voted
GECCO
2007
Springer
15 years 8 months ago
2007
Springer
The modeling and analysis of large networks of autonomous agents is an important topic with applications in many different disciplines. One way of modeling the development of such...
116
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
Building artificial systems using self-assembly is one of the main issues of artificial life [17]. Scientists are trying to understand this process either using experimental appro...