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» A Graphical Model for Evolutionary Optimization
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147
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ML
2000
ACM
244views Machine Learning» more  ML 2000»
15 years 2 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
CDC
2009
IEEE
133views Control Systems» more  CDC 2009»
15 years 7 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
118
Voted
CEC
2005
IEEE
15 years 8 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 ...
120
Voted
GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
15 years 3 months 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
148
Voted
BMCBI
2010
164views more  BMCBI 2010»
15 years 2 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...