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» A Utile Function Optimizer
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104
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JSYML
2010
114views more  JSYML 2010»
14 years 11 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
116
Voted
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 6 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
103
Voted
JGO
2010
96views more  JGO 2010»
14 years 11 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
114
Voted
DAC
1999
ACM
16 years 2 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...
124
Voted
ALDT
2009
Springer
207views Algorithms» more  ALDT 2009»
15 years 7 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