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JSYML
2010
114views more  JSYML 2010»
13 years 8 months ago
The Ackermann functions are not optimal, but by how much?
By taking a closer look at the construction of an Ackermann function we see that between any primitive recursive degree and its Ackermann modification there is a dense chain of p...
Harold Simmons
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
14 years 3 months ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De
JGO
2010
96views more  JGO 2010»
13 years 8 months ago
Duality and optimality conditions for generalized equilibrium problems involving DC functions
We consider a generalized equilibrium problem involving DC functions which is called (GEP). For this problem we establish two new dual formulations based on Toland-Fenchel-Lagrange...
N. Dinh, Jean-Jacques Strodiot, Van Hien Nguyen
DAC
1999
ACM
14 years 10 months ago
Representation of Function Variants for Embedded System Optimization and Synthesis
Many embedded systems are implemented with a set of alternative function variants to adapt the system to different applications or environments. This paper proposes a novel approa...
Dirk Ziegenbein, Jürgen Teich, Kai Richter, L...
ALDT
2009
Springer
207views Algorithms» more  ALDT 2009»
14 years 4 months ago
Anytime Self-play Learning to Satisfy Functional Optimality Criteria
We present an anytime multiagent learning approach to satisfy any given optimality criterion in repeated game self-play. Our approach is opposed to classical learning approaches fo...
Andriy Burkov, Brahim Chaib-draa