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» Scaling into Ambient Intelligence
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CEC
2007
IEEE
15 years 6 months ago
How well do multi-objective evolutionary algorithms scale to large problems
Abstract— In spite of large amount of research work in multiobjective evolutionary algorithms, most have evaluated their algorithms on problems with only two to four objectives. ...
Kata Praditwong, Xin Yao
ICTAI
2007
IEEE
15 years 6 months ago
Dragon Toolkit: Incorporating Auto-Learned Semantic Knowledge into Large-Scale Text Retrieval and Mining
The majority of text retrieval and mining techniques are still based on exact feature (e.g. words) matching and unable to incorporate text semantics. Many researchers believe that...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
IAT
2006
IEEE
15 years 6 months ago
Dynamical Control in Large-Scale Material Handling Systems through Agent Technology
Delayed arrivals, missing tag codes, flight changes, break-downs, etc. are some of the factors, which make the environment of airport baggage handling systems (BHS) extremely dyn...
Kasper Hallenborg, Yves Demazeau
IAT
2005
IEEE
15 years 5 months ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu
UPP
2004
Springer
15 years 5 months ago
Grassroots Approach to Self-management in Large-Scale Distributed Systems
Abstract. Traditionally, autonomic computing is envisioned as replacing the human factor in the deployment, administration and maintenance of computer systems that are ever more co...
Özalp Babaoglu, Márk Jelasity, Alberto...