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» On the Evolution of Evolutionary Algorithms
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ESOA
2006
15 years 1 months ago
Greedy Cheating Liars and the Fools Who Believe Them
Evolutionary algorithms based on "tags" can be adapted to induce cooperation in selfish environments such as peer-to-peer systems. In this approach, nodes periodically co...
Stefano Arteconi, David Hales, Özalp Babaoglu
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 1 months ago
Particle swarm with speciation and adaptation in a dynamic environment
This paper describes an extension to a speciation-based particle swarm optimizer (SPSO) to improve performance in dynamic environments. The improved SPSO has adopted several prove...
Xiaodong Li, Jürgen Branke, Tim Blackwell
GECCO
2010
Springer
141views Optimization» more  GECCO 2010»
15 years 1 months ago
Today/future importance analysis
SBSE techniques have been widely applied to requirements selection and prioritization problems in order to ascertain a suitable set of requirements for the next release of a syste...
Yuanyuan Zhang, Enrique Alba, Juan J. Durillo, Sig...
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
14 years 11 months ago
Potential fitness for genetic programming
We introduce potential fitness, a variant of fitness function that operates in the space of schemata and is applicable to tree-based genetic programing. The proposed evaluation ...
Krzysztof Krawiec, PrzemysBaw Polewski
122
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TEC
2008
165views more  TEC 2008»
14 years 10 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