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» On the Brittleness of Evolutionary Algorithms
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CEC
2009
IEEE
16 years 1 months ago
Mixed Mutation Strategy Embedded Differential Evolution
Differential evolution (DE) is a powerful yet simple evolutionary algorithm for optimizing real valued optimization problems. Traditional investigations with differential evolution...
Millie Pant, Musrrat Ali, Ajith Abraham
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
15 years 12 months ago
Population-based incremental learning with memory scheme for changing environments
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
Shengxiang Yang
CPM
1999
Springer
129views Combinatorics» more  CPM 1999»
15 years 10 months ago
On the Structure of Syntenic Distance
This paper examines some of the rich structure of the syntenic distance model of evolutionary distance, introduced by Ferretti et al. (1996). The syntenic distance between two gen...
David Liben-Nowell
ERCIMDL
2000
Springer
147views Education» more  ERCIMDL 2000»
15 years 10 months ago
Map Segmentation by Colour Cube Genetic K-Mean Clustering
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...
Vitorino Ramos, Fernando Muge
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
15 years 7 months ago
Structure and parameter estimation for cell systems biology models
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconl comput...
Francisco José Romero-Campero, Hongqing Cao...