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EPS
1995
Springer
15 years 10 months ago
A Survey of Constraint Handling Techniques in Evolutionary Computation Methods
One of the major components of any evolutionary system is the evaluation function. Evaluation functions are used to assign a quality measure for individuals in a population. Where...
Zbigniew Michalewicz
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 11 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
DATE
2007
IEEE
89views Hardware» more  DATE 2007»
16 years 20 days ago
Computing synchronizer failure probabilities
— System-on-Chip designs often have a large number of timing domains. Communication between these domains requires synchronization, and the failure probabilities of these synchro...
Suwen Yang, Mark R. Greenstreet
CDC
2009
IEEE
128views Control Systems» more  CDC 2009»
15 years 10 months ago
The entropy penalized minimum energy estimator
This paper addresses the state estimation problem of nonlinear systems. We formulate the problem using a minimum energy estimator (MEE) approach and propose an entropy penalized sc...
Sergio Daniel Pequito, A. Pedro Aguiar, Diogo A. G...
PPSN
1998
Springer
15 years 10 months ago
A Decoder-Based Evolutionary Algorithm for Constrained Parameter Optimization Problems
Several methods have been proposed for handling nonlinear constraints by evolutionary algorithms for numerical optimization problems; a survey paper [7] provides an overview of var...
Slawomir Koziel, Zbigniew Michalewicz