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MP
2002
110views more  MP 2002»
15 years 7 months ago
Robust optimization - methodology and applications
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
Aharon Ben-Tal, Arkadi Nemirovski
TEC
2002
133views more  TEC 2002»
15 years 7 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
SAC
2008
ACM
15 years 7 months ago
Optimizing code through iterative specialization
Code specialization is a way to obtain significant improvement in the performance of an application. It works by exposing values of different parameters in source code. The availa...
Minhaj Ahmad Khan, Henri-Pierre Charles, Denis Bar...
ICRA
2010
IEEE
117views Robotics» more  ICRA 2010»
15 years 6 months ago
Data-driven optimization for underactuated robotic hands
— Passively adaptive and underactuated robotic hands have shown the potential to achieve reliable grasping in unstructured environments without expensive mechanisms or sensors. I...
Matei T. Ciocarlie, Peter K. Allen
IJSYSC
2010
92views more  IJSYSC 2010»
15 years 5 months ago
Constrained optimal control: an application to semiactive suspension systems
This paper applies three different control techniques to the design of a quarter car semiactive suspension system. The three techniques, originally developed to solve a constrain...
Tina Paschedag, Alessandro Giua, Carla Seatzu