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» Incremental evolution strategy for function optimization
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EVOW
2009
Springer
15 years 7 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne
INFOCOM
2011
IEEE
14 years 4 months ago
Optimal control of epidemic evolution
—Epidemic models based on nonlinear differential equations have been extensively applied in a variety of systems as diverse as infectious outbreaks, marketing, diffusion of belie...
M. H. R. Khouzani, Saswati Sarkar, Eitan Altman
GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
15 years 4 months ago
Improved step size adaptation for the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Thomas Voß, Nikolaus Hansen, Christian Igel
122
Voted
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
15 years 6 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
96
Voted
EVOW
2010
Springer
15 years 7 months ago
Investigating the Local-Meta-Model CMA-ES for Large Population Sizes
For many real-life engineering optimization problems, the cost of one objective function evaluation can take several minutes or hours. In this context, a popular approach to reduce...
Zyed Bouzarkouna, Anne Auger, Didier Yu Ding