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GECCO
2010
Springer
162views Optimization» more  GECCO 2010»
15 years 11 months ago
Heuristics for sampling repetitions in noisy landscapes with fitness caching
For many large-scale combinatorial search/optimization problems, meta-heuristic algorithms face noisy objective functions, coupled with computationally expensive evaluation times....
Forrest Stonedahl, Susa H. Stonedahl
GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
15 years 11 months ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim
ISNN
2010
Springer
15 years 11 months ago
Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries
Preference elicitation (PE) is an important component of interactive decision support systems that aim to make optimal recommendations to users by actively querying their preferen...
Shengbo Guo, Scott Sanner
188
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ITS
2010
Springer
178views Multimedia» more  ITS 2010»
15 years 11 months ago
Learning by Teaching SimStudent
The purpose of the current study was to test whether we could create a system where students can learn by teaching a live machine-learning agent. SimStudent is a computer agent tha...
Noboru Matsuda, Victoria Keiser, Rohan Raizada, Ga...
CDC
2009
IEEE
133views Control Systems» more  CDC 2009»
15 years 11 months ago
A symbolic model approach to the digital control of nonlinear time-delay systems
— In this paper we propose an approach to control design of nonlinear time–delay systems, which is based on the construction of symbolic models, where each symbolic state and e...
Giordano Pola, Pierdomenico Pepe, Maria Domenica D...
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