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CEC
2007
IEEE
15 years 10 months ago
Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods
— Hypervolume based multiobjective evolutionary algorithms (MOEA) nowadays seem to be the first choice when handling multiobjective optimization problems with many, i.e., at lea...
Dimo Brockhoff, Eckart Zitzler
CEC
2005
IEEE
15 years 10 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
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 9 months ago
A multi-objective evolutionary approach to peptide structure redesign and stabilization
The prediction of the native structures of proteins, the socalled protein folding problem, is a NP hard multi-minima optimization problem for which to date no routine solutions ex...
Tim Hohm, Daniel Hoffmann
114
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PPSN
2004
Springer
15 years 9 months ago
Searching Transcriptional Modules Using Evolutionary Algorithms
The mechanism of gene regulation has been studied intensely for decades. It is important to identify synergistic transcriptional motifs. Its search space is so large that an effici...
Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 9 months ago
On the generality of parameter tuning in evolutionary planning
Divide-and-Evolve (DaE) is an original “memeticization” of Evolutionary Computation and Artificial Intelligence Planning. However, like any Evolutionary Algorithm, DaE has se...
Jacques Bibai, Pierre Savéant, Marc Schoena...