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CEC
2009
IEEE
15 years 8 months ago
Memetic algorithm with Local search chaining for large scale continuous optimization problems
Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
Daniel Molina, Manuel Lozano, Francisco Herrera
ICARIS
2005
Springer
15 years 8 months ago
A Markov Chain Model of the B-Cell Algorithm
An exact Markov chain model of the B-cell algorithm (BCA) is constructed via a novel possible transit method. The model is used to formulate a proof that the BCA is convergent abso...
Edward Clark, Andrew Hone, Jon Timmis
156
Voted
EVOW
2012
Springer
13 years 11 months ago
Multiobjectivizing the HP Model for Protein Structure Prediction
Abstract. The hydrophobic-polar (HP) model for protein structure preabstracts the fact that hydrophobic interactions are a dominant force in the protein folding process. This model...
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregor...
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 8 months ago
Collaborative interactive evolution
Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power o...
Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes
131
Voted
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
15 years 9 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks