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» Theory and Applications of Robust Optimization
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ICTAI
2000
IEEE
15 years 4 months ago
Constrained genetic algorithms and their applications in nonlinear constrained optimization
This paper presents a problem-independent framework that uni es various mechanisms for solving discrete constrained nonlinear programming (NLP) problems whose functions are not ne...
Benjamin W. Wah, Yixin Chen
85
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IJCNN
2000
IEEE
15 years 4 months ago
On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
Eiji Mizutani, Stuart E. Dreyfus, Kenichi Nishio
IPPS
2006
IEEE
15 years 5 months ago
Cooperative checkpointing theory
Cooperative checkpointing uses global knowledge of the state and health of the machine to improve performance and reliability by dynamically deciding when to skip checkpoint reque...
Adam J. Oliner, Larry Rudolph, Ramendra K. Sahoo
CI
2007
45views more  CI 2007»
14 years 11 months ago
Market-Based Approaches to Optimization
Abstract. We present a general discussion of what constitutes a marketoriented approach to optimization. We demonstrate how a general framework can be used to conceptually improve ...
Maria Karlsson, Fredrik Ygge, Arne Andersson
ECAL
2005
Springer
15 years 5 months ago
The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
J. J. McDowell, Zahra Ansari