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GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
15 years 10 months ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
CASCON
2007
138views Education» more  CASCON 2007»
15 years 8 months ago
SLA-driven business process management in SOA
The management of non-functional goals, or Service Level Agreements (SLA), in the development of business processes in a Service Oriented Architecture often requires much manual a...
Vinod Muthusamy, Hans-Arno Jacobsen, Phil Coulthar...
AAAI
2000
15 years 8 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
CORR
2008
Springer
91views Education» more  CORR 2008»
15 years 7 months ago
Particle Filtering for Large Dimensional State Spaces with Multimodal Observation Likelihoods
We study efficient importance sampling techniques for particle filtering (PF) when either (a) the observation likelihood (OL) is frequently multimodal or heavy-tailed, or (b) the s...
Namrata Vaswani
TASE
2008
IEEE
15 years 7 months ago
Group Elevator Scheduling With Advance Information for Normal and Emergency Modes
Group elevator scheduling has long been recognized as an important problem for building transportation efficiency, since unsatisfactory elevator service is one of the major complai...
Peter B. Luh, Bo Xiong, Shi-Chung Chang
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