FOGA 2017: FOUNDATIONS OF GENETIC ALGORITHMS XIV

A
Akimoto, Youhei	Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions
Atamna, Asma	Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling
Auger, Anne	Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling
C
Covantes Osuna, Edgar	Analysis of the Clearing Diversity-Preserving Mechanism
F
Friedrich, Tobias	On the Use of the Dual Formulation for Minimum Weighted Vertex Cover in Evolutionary Algorithms Analysis of the (1+1) EA on Subclasses of Linear Functions under Uniform and Linear Constraints Resampling vs Recombination: a Statistical Run Time Estimation
G
Glasmachers, Tobias	Qualitative and Quantitative Assessment of Step Size Adaptation Rules
H
Hansen, Nikolaus	Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling
Hansen, Nikolaus	Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions
I
Igel, Christian	Qualitative and Quantitative Assessment of Step Size Adaptation Rules
Imada, Ryo	Hypervolume Subset Selection for Triangular and Inverted Triangular Pareto Fronts of Three-Objective Problems
Ishibuchi, Hisao	Hypervolume Subset Selection for Triangular and Inverted Triangular Pareto Fronts of Three-Objective Problems
K
Krause, Oswin	Qualitative and Quantitative Assessment of Step Size Adaptation Rules
Krejca, Martin S.	Lower Bounds on the Run Time of the Univariate Marginal Distribution Algorithm on OneMax
Kötzing, Timo	Analysis of the (1+1) EA on Subclasses of Linear Functions under Uniform and Linear Constraints Resampling vs Recombination: a Statistical Run Time Estimation
L
Lagodzinski, J. A. Gregor	Analysis of the (1+1) EA on Subclasses of Linear Functions under Uniform and Linear Constraints
M
Mühlenthaler, Moritz	Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax
N
Neumann, Frank	On the Use of the Dual Formulation for Minimum Weighted Vertex Cover in Evolutionary Algorithms Analysis of the (1+1) EA on Subclasses of Linear Functions under Uniform and Linear Constraints
Nojima, Yusuke	Hypervolume Subset Selection for Triangular and Inverted Triangular Pareto Fronts of Three-Objective Problems
P
Paixao, Tiago	An Application of Stochastic Differential Equations to Evolutionary Algorithms
Perez Heredia, Jorge	An Application of Stochastic Differential Equations to Evolutionary Algorithms
Pourhassan, Mojgan	On the Use of the Dual Formulation for Minimum Weighted Vertex Cover in Evolutionary Algorithms
Q
Quinzan, Francesco	Resampling vs Recombination: a Statistical Run Time Estimation
R
Raß, Alexander	Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax
S
Schirneck, Martin	Analysis of the (1+1) EA on Subclasses of Linear Functions under Uniform and Linear Constraints
Schmitt, Manuel	Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax
Setoguchi, Yu	Hypervolume Subset Selection for Triangular and Inverted Triangular Pareto Fronts of Three-Objective Problems
Sheppard, John	Convergence of Factored Evolutionary Algorithms
Shir, Ofer	On the Statistical Learning Ability of Evolution Strategies
Siegling, Andreas	Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax
Strasser, Shane	Convergence of Factored Evolutionary Algorithms
Sudholt, Dirk	Analysis of the Clearing Diversity-Preserving Mechanism
Sutton, Andrew Michael	Resampling vs Recombination: a Statistical Run Time Estimation
W
Wanka, Rolf	Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax
Witt, Carsten	Lower Bounds on the Run Time of the Univariate Marginal Distribution Algorithm on OneMax
Y
Yehudayoff, Amir	On the Statistical Learning Ability of Evolution Strategies

Disclaimer | Powered by EasyChair Smart Program