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113
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GECCO
2000
Springer
250views Optimization» more  GECCO 2000»
15 years 3 months ago
A Simple and Fast GA-SA hybrid Image Segmentation Algorithm
Image segmentation is an important process of image analysis. Most of the published approaches for image segmentation need to set appropriate parameter values to cope with the unc...
Shinn-Ying Ho, Kual-Zheng Lee
98
Voted
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
15 years 21 days ago
Maintaining diversity through adaptive selection, crossover and mutation
This paper presents an Adaptive Genetic Algorithm (AGA) where selection pressure, crossover and mutation probabilities are adapted according to population diversity statistics. Th...
Brian McGinley, Fearghal Morgan, Colm O'Riordan
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
15 years 3 months ago
A survey of mutation techniques in genetic programming
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
Alan Piszcz, Terence Soule
GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
15 years 4 months ago
Configuration of a genetic algorithm for multi-objective optimisation of solar gain to buildings
We report the formulation and implementation of a genetic algorithm to address multi-objective optimisation of solar gain to buildings with the goal of minimising energy consumpti...
Ralph Evins
CEC
2005
IEEE
15 years 5 months ago
Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimodal optimization
A new radii-based evolutionary algorithm (EA) designed for multimodal optimization problems is proposed. The approach can be placed within the genetic chromodynamics framework and ...
Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, D...