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GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 11 months ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer
GECCO
2007
Springer
268views Optimization» more  GECCO 2007»
15 years 11 months ago
Vulnerability analysis and security framework (BeeSec) for nature inspired MANET routing protocols
Design, development and evaluation of adaptive, scalable, and power aware Bio/Nature inspired routing protocols has received a significant amount of attention in the recent past....
Nauman Mazhar, Muddassar Farooq
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 11 months ago
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data
This paper describes an extension to the Restricted Growth Function grouping Genetic Algorithm applied to the Consensus Clustering of a retinal nerve fibre layer data-set. Consens...
Stephen Swift, Allan Tucker, Jason Crampton, David...
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
15 years 11 months ago
Evolutionary benefits of evolvable component integration
A system composed of multiple interacting components is capable of responding to contextual information and producing a higher range of non-linear responses to stimuli compared to...
David Malkin, R. Beau Lotto
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 11 months ago
On the runtime analysis of the 1-ANT ACO algorithm
The runtime analysis of randomized search heuristics is a growing field where, in the last two decades, many rigorous results have been obtained. These results, however, apply pa...
Benjamin Doerr, Frank Neumann, Dirk Sudholt, Carst...
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