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» Comparison of Multiobjective Evolutionary Algorithms: Empiri...
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GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
15 years 9 months ago
An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm
Given the prominence of elite archiving in contemporary multiobjective optimisation research and the limitations inherent in bounded population sizes, it is unusual that the vast ...
Adam Berry, Peter Vamplew
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 10 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
SAC
2004
ACM
15 years 11 months ago
A comparison of randomized and evolutionary approaches for optimizing base station site selection
It is increasingly important to optimally select base stations in the design of cellular networks, as customers demand cheaper and better wireless services. From a set of potentia...
Larry Raisanen, Roger M. Whitaker, Steve Hurley
EVOW
2012
Springer
14 years 1 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
2000
Springer
114views Optimization» more  GECCO 2000»
15 years 9 months ago
Variable Length Genomes for Evolutionary Algorithms
A general variable length genome, called exG, is developed here to address the problems of fixed length representations in canonical evolutionary algorithms. Convergence aspects o...
C.-Y. Lee, E. K. Antonsson