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» Evolutionary algorithms and matroid optimization problems
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GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
14 years 16 days ago
Biogeography-based optimization with blended migration for constrained optimization problems
Biogeography-based optimization (BBO) is a new evolutionary algorithm based on the science of biogeography. We propose two extensions to BBO. First, we propose blended migration. ...
Haiping Ma, Dan Simon
PATAT
2004
Springer
141views Education» more  PATAT 2004»
14 years 1 months ago
A Hybrid Multi-objective Evolutionary Algorithm for the Uncapacitated Exam Proximity Problem
A hybrid Multi-Objective Evolutionary Algorithm is used to tackle the uncapacitated exam proximity problem. In this hybridization, local search operators are used instead of the tr...
Pascal Côté, Tony Wong, Robert Sabour...
EVOW
2001
Springer
14 years 6 days ago
An Evolutionary Algorithm with Stochastic Hill-Climbing for the Edge-Biconnectivity Augmentation Problem
Augmenting an existing network with additional links to achieve higher robustness and survivability plays an important role in network design. We consider the problem of augmenting...
Ivana Ljubic, Günther R. Raidl
GECCO
2005
Springer
157views Optimization» more  GECCO 2005»
14 years 1 months ago
Simple addition of ranking method for constrained optimization in evolutionary algorithms
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
Pei Yee Ho, Kazuyuki Shimizu
CEC
2010
IEEE
13 years 8 months ago
Two-stage based ensemble optimization for large-scale global optimization
Large-scale global optimization (LSGO) is a very important and challenging task in optimization domain, which is embedded in many scientific and engineering applications. In this p...
Yu Wang, Bin Li