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GEM
2008
15 years 7 months ago
Initial Population Diversity Does Not Influence Performance
- It is widely believed that greater initial population diversity leads to improved performance in genetic algorithms. However, this assumption has not been rigorously tested previ...
Pedro A. Diaz-Gomez, Dean F. Hougen
CEC
2009
IEEE
16 years 1 months ago
The Pareto-Following Variation Operator as an alternative approximation model
— This paper presents a critical analysis of the Pareto-Following Variation Operator (PFVO) when used as an approximation method for Multiobjective Evolutionary Algorithms (MOEA)...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
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
185
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GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
15 years 11 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