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EVOW
2005
Springer
13 years 10 months ago
The Memory Indexing Evolutionary Algorithm for Dynamic Environments
Aydin Karaman, Sima Uyar, Gülsen Eryigit
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
13 years 10 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
TEC
2008
165views more  TEC 2008»
13 years 5 months ago
Population-Based Incremental Learning With Associative Memory for Dynamic Environments
In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its importance in real-world applications. Several app...
Shengxiang Yang, Xin Yao
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
13 years 10 months ago
Diversity as a selection pressure in dynamic environments
Evolutionary algorithms (EAs) are widely used to deal with optimization problems in dynamic environments (DE) [3]. When using EAs to solve DE problems, we are usually interested i...
Lam Thu Bui, Jürgen Branke, Hussein A. Abbass
EC
2008
164views ECommerce» more  EC 2008»
13 years 5 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...