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» Fitness Landscapes and Evolvability
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EC
2008
164views ECommerce» more  EC 2008»
14 years 9 months ago
Tracking Moving Optima Using Kalman-Based Predictions
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
Claudio Rossi, Mohamed Abderrahim, Julio Cé...
FLAIRS
2004
14 years 11 months ago
Multimodal Function Optimization Using Local Ruggedness Information
In multimodal function optimization, niching techniques create diversification within the population, thus encouraging heterogeneous convergence. The key to the effective diversif...
Jian Zhang 0007, Xiaohui Yuan, Bill P. Buckles
GECCO
2006
Springer
146views Optimization» more  GECCO 2006»
15 years 1 months ago
Fitness function for finding out robust solutions on time-varying functions
Evolutionary Computations in dynamic/uncertain environments have attracted much attention. Studies regarding this research subjects can be classified into four categories: Noise, ...
Hisashi Handa
CEC
2007
IEEE
15 years 1 months ago
Fitness diversity based adaptation in Multimeme Algorithms: A comparative study
Abstract-- This paper compares three different fitness diversity adaptations in Multimeme Algorithms (MmAs). These diversity indexes have been integrated within a MmA present in li...
Ferrante Neri, Ville Tirronen, Tommi Kärkk&au...
HICSS
2008
IEEE
113views Biometrics» more  HICSS 2008»
15 years 4 months ago
The Role and Emerging Landscape of Data Pools in the Retail and Consumer Goods Industries
In terms of electronic collaboration, the value chains of the retail and consumer goods industries can be ranked among the most advanced. Recent studies have underlined the import...
Jan Schemm, Christine Legner