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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 1 months ago
"Optimal" mutation rates for genetic search
Using a set of model landscapes we examine how different mutation rates affect different search metrics. We show that very universal heuristics, such as 1/N and the error threshol...
Jorge Cervantes, Christopher R. Stephens
ICRA
2005
IEEE
90views Robotics» more  ICRA 2005»
15 years 3 months ago
Genetic Optimization and Simulation of a Piezoelectric Pipe-Crawling Inspection Robot
- Using the Darwin2k development software, a genetic algorithm (GA) was used to design and optimize a pipecrawling robot for parameters such as mass, power consumption, and joint e...
Geoffrey Hollinger, Jeri Briscoe
APIN
2007
172views more  APIN 2007»
14 years 10 months ago
A genetically optimized level set approach to segmentation of thyroid ultrasound images
This paper presents a novel framework for thyroid ultrasound image segmentation that aims to accurately delineate thyroid nodules. This framework, named GA-VBAC incorporates a leve...
Dimitrios K. Iakovidis, Michalis A. Savelonas, Sta...
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
15 years 3 months ago
Advanced models of cellular genetic algorithms evaluated on SAT
Cellular genetic algorithms (cGAs) are mainly characterized by their spatially decentralized population, in which individuals can only interact with their neighbors. In this work,...
Enrique Alba, Hugo Alfonso, Bernabé Dorrons...
GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
15 years 4 months ago
Cheating for problem solving: a genetic algorithm with social interactions
We propose a variation of the standard genetic algorithm that incorporates social interaction between the individuals in the population. Our goal is to understand the evolutionary...
Rafael Lahoz-Beltra, Gabriela Ochoa, Uwe Aickelin