1215 search results - page 174 / 243 » Application domain study of evolutionary algorithms in optim... |
127
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HIS
2007
15 years 2 months ago
2007
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
114
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JAIR
2011
14 years 8 months ago
2011
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
109
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INFSOF
2008
15 years 1 months ago
2008
Domain-specific modeling (DSM) assists subject matter experts in describing the essential characteristics of a problem in their domain. Various software artifacts can be generated...
145
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GECCO
2007
Springer
15 years 7 months ago
2007
Springer
Recently, advances have been made in continuous, normal– distribution–based Estimation–of–Distribution Algorithms (EDAs) by scaling the variance up from the maximum–like...
102
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SIGECOM
2006
ACM
15 years 7 months ago
2006
ACM
In multiagent systems, strategic settings are often analyzed under the assumption that the players choose their strategies simultaneously. However, this model is not always realis...