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KES
2005
Springer
14 years 27 days ago
Optimal Remediation Design in Groundwater Systems by Intelligent Techniques
Abstract. This research develops an optimal planning model for pump-treatinject based groundwater remediation systems. Optimizing the design of the pump-treat-inject system is a no...
Hone-Jay Chu, Chin-Tsai Hsiao, Liang-Cheng Chang
AI
2000
Springer
13 years 7 months ago
A Lagrangian reconstruction of GENET
GENET is a heuristic repair algorithm which demonstrates impressive e ciency in solving some large-scale and hard instances of constraint satisfaction problems (CSPs). In this pap...
Kenneth M. F. Choi, Jimmy Ho-Man Lee, Peter J. Stu...
NIPS
1998
13 years 8 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
EUROGP
2005
Springer
115views Optimization» more  EUROGP 2005»
14 years 25 days ago
Genetic Programming in Wireless Sensor Networks
Abstract. Wireless sensor networks (WSNs) are medium scale manifestations of a paintable or amorphous computing paradigm. WSNs are becoming increasingly important as they attain gr...
Derek M. Johnson, Ankur Teredesai, Robert T. Salta...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa