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» Nonlinear model predictive control of a cutting process
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EOR
2007
117views more  EOR 2007»
13 years 9 months ago
Considering manufacturing cost and scheduling performance on a CNC turning machine
A well known industry application that allows controllable processing times is the manufacturing operations on CNC machines. For each turning operation as an example, there is a n...
Sinan Gurel, M. Selim Akturk
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
13 years 6 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
ENVSOFT
2007
108views more  ENVSOFT 2007»
13 years 9 months ago
Modeling biocomplexity - actors, landscapes and alternative futures
: Increasingly, models (and modelers) are being asked to address the interactions between human influences, ecological processes, and landscape dynamics that impact many diverse as...
John P. Bolte, David W. Hulse, Stanley V. Gregory,...
PODC
2012
ACM
11 years 11 months ago
On the (limited) power of non-equivocation
In recent years, there have been a few proposals to add a small amount of trusted hardware at each replica in a Byzantine fault tolerant system to cut back replication factors. Th...
Allen Clement, Flavio Junqueira, Aniket Kate, Rodr...
NIPS
1993
13 years 10 months ago
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Christopher G. Atkeson