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» The MaxSolve algorithm for coevolution
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CEC
2011
IEEE
12 years 7 months ago
Trainer selection strategies for coevolving rank predictors
—Despite the range of applications and successes of evolutionary algorithms, expensive fitness computations often form a critical performance bottleneck. A preferred method of r...
Daniel L. Ly, Hod Lipson
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
14 years 1 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
GECCO
2004
Springer
147views Optimization» more  GECCO 2004»
14 years 1 months ago
Cooperative Coevolution Fusion for Moving Object Detection
In this paper we introduce a novel sensor fusion algorithm based on the cooperative coevolutionary paradigm. We develop a multisensor robust moving object detection system that can...
Sohail Nadimi, Bir Bhanu
GECCO
2004
Springer
14 years 1 months ago
How to Overcome the Equivalent Mutant Problem and Achieve Tailored Selective Mutation Using Co-evolution
The use of Genetic Algorithms in evolution of mutants and test cases offers new possibilities in addressing some of the main problems of mutation testing. Most specifically the p...
Konstantinos Adamopoulos, Mark Harman, Robert M. H...
ISPD
2003
ACM
73views Hardware» more  ISPD 2003»
14 years 27 days ago
Research directions for coevolution of rules and routers
Design rules in advanced IC manufacturing processes are increasingly problematic for modern router architectures and algorithms. This paper first reviews types and causes of “d...
Andrew B. Kahng