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» A Graphical Model for Evolutionary Optimization
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ML
2000
ACM
244views Machine Learning» more  ML 2000»
14 years 11 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
80
Voted
CDC
2009
IEEE
133views Control Systems» more  CDC 2009»
15 years 4 months ago
Equilibrium species counts and migration model tradeoffs for biogeography-based optimization
—Motivated by the migration mechanisms of ecosystems, various extensions to biogeography-based optimization (BBO) are proposed. BBO is an original optimization method based on th...
Haiping Ma, Suhong Ni, Man Sun
CEC
2005
IEEE
15 years 5 months ago
A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary alg
This paper presents a study on Hierarchical Surrogate-Assisted Evolutionary Algorithm (HSAEA) using different global surrogate models for solving computationally expensive optimiza...
Zongzhao Zhou, Yew-Soon Ong, My Hanh Nguyen, Dudy ...
GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
15 years 25 days ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
115
Voted
BMCBI
2010
164views more  BMCBI 2010»
14 years 12 months ago
Gene regulatory networks modelling using a dynamic evolutionary hybrid
Background: Inference of gene regulatory networks is a key goal in the quest for understanding fundamental cellular processes and revealing underlying relations among genes. With ...
Ioannis A. Maraziotis, Andrei Dragomir, Dimitris T...