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» Dynamic Control of Genetic Algorithms in a Noisy Environment
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GECCO
2007
Springer
195views Optimization» more  GECCO 2007»
14 years 12 days ago
Diverse committees vote for dependable profits
Stock selection for hedge fund portfolios is a challenging problem for Genetic Programming (GP) because the markets (the environment in which the GP solution must survive) are dyn...
Wei Yan, Christopher D. Clack
GECCO
2009
Springer
192views Optimization» more  GECCO 2009»
13 years 6 months ago
Improving SMT performance: an application of genetic algorithms to configure resizable caches
Simultaneous Multithreading (SMT) is a technology aimed at improving the throughput of the processor core by applying Instruction Level Parallelism (ILP) and Thread Level Parallel...
Josefa Díaz, José Ignacio Hidalgo, F...
AI
2008
Springer
13 years 8 months ago
Maintenance goals of agents in a dynamic environment: Formulation and policy construction
The notion of maintenance often appears in the AI literature in the context of agent behavior and planning. In this paper, we argue that earlier characterizations of the notion of...
Chitta Baral, Thomas Eiter, Marcus Bjäreland,...
EGC
2005
Springer
14 years 2 months ago
A Grid-Oriented Genetic Algorithm
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
Jose Herrera, Eduardo Huedo, Rubén S. Monte...
CISIM
2008
IEEE
14 years 3 months ago
Scheduling in Multiprocessor System Using Genetic Algorithms
Multiprocessors have emerged as a powerful computing means for running real-time applications, especially where a uniprocessor system would not be sufficient enough to execute all...
Keshav P. Dahal, M. Alamgir Hossain, Benny Varghes...