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» On the Evolution of Evolutionary Algorithms
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GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
16 years 3 days ago
Learning Environment for Life Time Value Calculation of Customers in Insurance Domain
A critical success factor in Insurance business is its ability to use information sources and contained knowledge in the most effective way. Its profitability is obtained through t...
Andrea Tettamanzi, Luca Sammartino, Mikhail Simono...
GECCO
2009
Springer
132views Optimization» more  GECCO 2009»
15 years 4 months ago
Cooperative micro-particle swarm optimization
Cooperative approaches have proved to be very useful in evolutionary computation due to their ability to solve efficiently high-dimensional complex problems through the cooperatio...
Konstantinos E. Parsopoulos
GRC
2008
IEEE
15 years 6 months ago
MovStream: An Efficient Algorithm for Monitoring Clusters Evolving in Data Streams
Monitoring cluster evolution in data streams is a major research topic in data streams mining. Previous clustering methods for evolving data streams focus on global clustering res...
Liang Tang, Chang-jie Tang, Lei Duan, Chuan Li, Ye...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 10 months ago
A general coarse-graining framework for studying simultaneous inter-population constraints induced by evolutionary operations
The use of genotypic populations is necessary for adaptation in Evolutionary Algorithms. We use a technique called form-invariant commutation to study the immediate effect of evol...
Keki M. Burjorjee, Jordan B. Pollack
AAMAS
2006
Springer
15 years 6 months ago
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...