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GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
15 years 9 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
AAAI
2008
15 years 8 months ago
H-DPOP: Using Hard Constraints for Search Space Pruning in DCOP
In distributed constraint optimization problems, dynamic programming methods have been recently proposed (e.g. DPOP). In dynamic programming many valuations are grouped together i...
Akshat Kumar, Adrian Petcu, Boi Faltings
AAAI
2007
15 years 8 months ago
Stochastic Optimization for Collision Selection in High Energy Physics
Artificial intelligence has begun to play a critical role in basic science research. In high energy physics, AI methods can aid precision measurements that elucidate the underlyi...
Shimon Whiteson, Daniel Whiteson
162
Voted
AIPS
2008
15 years 8 months ago
Bounded-Parameter Partially Observable Markov Decision Processes
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
Yaodong Ni, Zhi-Qiang Liu
186
Voted
FLAIRS
2008
15 years 8 months ago
A Semantic Method for Textual Entailment
The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and lexical models with some success. Here, we further explore this problem, this t...
Andrew Neel, Max H. Garzon, Vasile Rus