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ISDA
2008
IEEE
15 years 12 months ago
Genetic Annealing Optimization: Design and Real World Applications
Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...
TOMACS
2002
113views more  TOMACS 2002»
15 years 5 months ago
Simulating heavy tailed processes using delayed hazard rate twisting
Consider the problem of estimating the small probability that the maximum of a random walk exceeds a large threshold, when the process has a negative drift and the underlying rand...
Sandeep Juneja, Perwez Shahabuddin
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
15 years 11 months ago
On identifying global optima in cooperative coevolution
When applied to optimization problems, Cooperative Coevolutionary Algorithms (CCEA) have been observed to exhibit a behavior called relative overgeneralization. Roughly, they tend...
Anthony Bucci, Jordan B. Pollack
112
Voted
GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
15 years 11 months ago
Learning basic navigation for personal satellite assistant using neuroevolution
The Personal Satellite Assistant (PSA) is a small robot proposed by NASA to assist astronauts who are living and working aboard the space shuttle or space station. To help the ast...
Yiu-Fai Sit, Risto Miikkulainen
ML
2010
ACM
119views Machine Learning» more  ML 2010»
15 years 4 months ago
A cooperative coevolutionary algorithm for instance selection for instance-based learning
This paper presents a cooperative evolutionary approach for the problem of instance selection for instance based learning. The presented model takes advantage of one of the most r...
Nicolás García-Pedrajas, Juan Antoni...