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» An Object-oriented Optimization System
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122
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SASO
2009
IEEE
15 years 10 months ago
Controlling Particle Swarm Optimization with Learned Parameters
—Controlling particle swarm optimization is typically an unintuitive task, involving a process of adjusting low-level parameters of the system that often do not have obvious corr...
Kevin Winner, Don Miner, Marie desJardins
159
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ICCS
2004
Springer
15 years 9 months ago
Data Driven Design Optimization Methodology Development and Application
The Data Driven Design Optimization Methodology (DDDOM) is a Dynamic Data Driven Application System (DDDAS) developed for engineering design optimization. The DDDOM synergizes expe...
H. Zhao, D. Knight, E. Taskinoglu, V. Jovanovic
164
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WSC
2007
15 years 6 months ago
Optimizing time warp simulation with reinforcement learning techniques
Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...
Jun Wang, Carl Tropper
114
Voted
WSC
2008
15 years 6 months ago
Optimized maintenance design for manufacturing performance improvement using simulation
This research presents optimized maintenance design using simulation to analyze the capability of auto part manufacturing production system. The integration of simulation and opti...
Ahad Ali, Xiaohui Chen, Ziming Yang, Jay Lee, Jun ...
115
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EUROPAR
2007
Springer
15 years 9 months ago
Locality Optimized Shared-Memory Implementations of Iterated Runge-Kutta Methods
Iterated Runge-Kutta (IRK) methods are a class of explicit solution methods for initial value problems of ordinary differential equations (ODEs) which possess a considerable poten...
Matthias Korch, Thomas Rauber