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CCE
2008
13 years 8 months ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny
CCE
2004
13 years 7 months ago
Optimal waste reduction and investment planning under uncertainty
Ever-changing production campaigns complicate the management of recovery and treatment options for unavoidable effluents at pharmaceutical plants. Each campaign produces large amo...
Aninda Chakraborty, Andres Malcolm, Richard D. Col...
HYBRID
2000
Springer
13 years 11 months ago
Computing Optimal Operation Schemes for Chemical Plants in Multi-batch Mode
We propose a computer-aided methodology to automatically generate time optimal production schemes for chemical batch plants operating in multi-batch mode. Our approach is based on ...
Peter Niebert, Sergio Yovine
CORR
2012
Springer
292views Education» more  CORR 2012»
12 years 3 months ago
Optimal Threshold Control by the Robots of Web Search Engines with Obsolescence of Documents
A typical web search engine consists of three principal parts: crawling engine, indexing engine, and searching engine. The present work aims to optimize the performance of the cra...
Konstantin Avrachenkov, Alexander N. Dudin, Valent...
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
14 years 2 months ago
A formal framework for robot learning and control under model uncertainty
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
Robin Jaulmes, Joelle Pineau, Doina Precup