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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 11 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
IPPS
2003
IEEE
14 years 28 days ago
Grid Harvest Service: A System for Long-Term, Application-Level Task Scheduling
With the emergence of grid computing environment, performance measurement, analysis and prediction of non-dedicated distributed systems have become increasingly important. In this...
Xian-He Sun, Ming Wu
ISNN
2009
Springer
14 years 2 months ago
An Improved Quantum Evolutionary Algorithm with 2-Crossovers
Quantum evolutionary algorithm (QEA) is proposed on the basis of the concept and principles of quantum computing, which is a classical metaheuristic algorithm for the approximate s...
Zhihui Xing, Haibin Duan, Chunfang Xu
EH
2005
IEEE
119views Hardware» more  EH 2005»
14 years 1 months ago
Evolutionary Computation Technologies for the Automated Design of Space Systems
The Evolvable Computation Group, at NASA’s Jet Propulsion Laboratory, is tasked with demonstrating the utility of computational engineering and computer optimized design for com...
Richard Terrile, Hrand Aghazarian, Michael I. Ferg...
SC
2003
ACM
14 years 27 days ago
Job Superscheduler Architecture and Performance in Computational Grid Environments
Computational grids hold great promise in utilizing geographically separated heterogeneous resources to solve large-scale complex scientific problems. However, a number of major ...
Hongzhang Shan, Leonid Oliker, Rupak Biswas