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GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
15 years 1 months ago
Reconsidering the progress rate theory for evolution strategies in finite dimensions
This paper investigates the limits of the predictions based on the classical progress rate theory for Evolution Strategies. We explain on the sphere function why positive progress...
Anne Auger, Nikolaus Hansen
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GECCO
2006
Springer
158views Optimization» more  GECCO 2006»
15 years 1 months ago
Exploring network topology evolution through evolutionary computations
We present an evolutionary methodology that explores the evolution of network topology when a uniform growth of the network traffic is considered. The network redesign problem is ...
Sami J. Habib, Alice C. Parker
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
15 years 1 months ago
Rotated test problems for assessing the performance of multi-objective optimization algorithms
This paper presents four rotatable multi-objective test problems that are designed for testing EMO (Evolutionary Multiobjective Optimization) algorithms on their ability in dealin...
Antony W. Iorio, Xiaodong Li
GECCO
2006
Springer
210views Optimization» more  GECCO 2006»
15 years 1 months ago
Adaptive diversity in PSO
Spatial Extension PSO (SEPSO) and Attractive-Repulsive PSO (ARPSO) are methods for artificial injection of diversity into particle swarm optimizers that are intended to encourage ...
Christopher K. Monson, Kevin D. Seppi
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 1 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin