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GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
16 years 24 days ago
Cross entropy and adaptive variance scaling in continuous EDA
This paper deals with the adaptive variance scaling issue in continuous Estimation of Distribution Algorithms. A phenomenon is discovered that current adaptive variance scaling me...
Yunpeng Cai, Xiaomin Sun, Hua Xu, Peifa Jia
GECCO
2007
Springer
195views Optimization» more  GECCO 2007»
16 years 24 days ago
MILCS: a mutual information learning classifier system
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...
Robert Elliott Smith, Max Kun Jiang
GECCO
2007
Springer
230views Optimization» more  GECCO 2007»
16 years 24 days ago
Activation energy-based simulation for self-assembly of multi-shape tiles
Building artificial systems using self-assembly is one of the main issues of artificial life [17]. Scientists are trying to understand this process either using experimental appro...
Mostafa Mostafa Hashim Ellabaan
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
16 years 24 days ago
Using pair approximations to predict takeover dynamics in spatially structured populations
The topological properties of a network directly impact the flow of information through a system. For example, in natural populations, the network of inter-individual contacts aff...
Joshua L. Payne, Margaret J. Eppstein
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
16 years 24 days ago
Bayesian estimation of rule accuracy in UCS
Learning Classifier Systems differ from many other classification techniques, in that new rules are constantly discovered and evaluated. This feature of LCS gives rise to an im...
James A. R. Marshall, Gavin Brown, Tim Kovacs
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