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CEC
2005
IEEE
15 years 9 months ago
Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimodal optimization
A new radii-based evolutionary algorithm (EA) designed for multimodal optimization problems is proposed. The approach can be placed within the genetic chromodynamics framework and ...
Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, D...
ICCAD
2007
IEEE
130views Hardware» more  ICCAD 2007»
16 years 1 months ago
Modeling, optimization and control of rotary traveling-wave oscillator
Abstract— Rotary traveling-wave oscillator (RTWO) is a recently proposed transmission-line approach for multi-gigahertz rate clock generation. RTWO has the characteristics of bot...
Cheng Zhuo, Huafeng Zhang, Rupak Samanta, Jiang Hu...
AGENTS
1999
Springer
15 years 8 months ago
General Principles of Learning-Based Multi-Agent Systems
We consider the problem of how to design large decentralized multiagent systems (MAS’s) in an automated fashion, with little or no hand-tuning. Our approach has each agent run a...
David Wolpert, Kevin R. Wheeler, Kagan Tumer
WSC
2008
15 years 6 months ago
A simulation based optimization algorithm for slack reduction and workforce scheduling
In an assembly line with high labor proportion, the workforce planning and scheduling is a very complex problem. At the background of increasing labor costs, it is very important ...
Daniel Noack, Oliver Rose
139
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ICCV
2009
IEEE
1184views Computer Vision» more  ICCV 2009»
16 years 9 months ago
Learning Based Digital Matting
We cast some new insights into solving the digital matting problem by treating it as a semi-supervised learning task in machine learning. A local learning based approach and a g...
Yuanjie Zheng, Chandra Kambhamettu