FOGA '17- Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms

Full Citation in the ACM Digital Library

SESSION: Invited Talk

Fast and Powerful Hashing using Tabulation

• Mikkel Thorup

SESSION: Regular Papers

An Application of Stochastic Differential Equations to Evolutionary Algorithms

• Tiago Paixao
• Jorge Pérez Heredia

Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax

• Moritz Mühlenthaler
• Alexander Raß
• Manuel Schmitt
• Andreas Siegling
• Rolf Wanka

Resampling vs Recombination: a Statistical Run Time Estimation

• Tobias Friedrich
• Timo Kötzing
• Francesco Quinzan
• Andrew M. Sutton

On the Use of the Dual Formulation for Minimum Weighted Vertex Cover in Evolutionary Algorithms

• Mojgan Pourhassan
• Tobias Friedrich
• Frank Neumann

Analysis of the (1+1) EA on Subclasses of Linear Functions under Uniform and Linear Constraints

• Tobias Friedrich
• Timo Kötzing
• Gregor Lagodzinski
• Frank Neumann
• Martin Schirneck

Analysis of the Clearing Diversity-Preserving Mechanism

• Edgar Covantes Osuna
• Dirk Sudholt

Lower Bounds on the Run Time of the Univariate Marginal Distribution Algorithm on OneMax

• Martin S. Krejca
• Carsten Witt

Convergence of Factored Evolutionary Algorithms

• Shane Strasser
• John W. Sheppard

Hypervolume Subset Selection for Triangular and Inverted Triangular Pareto Fronts of Three-Objective Problems

• Hisao Ishibuchi
• Ryo Imada
• Yu Setoguchi
• Yusuke Nojima

Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions

• Youhei Akimoto
• Anne Auger
• Nikolaus Hansen

On the Statistical Learning Ability of Evolution Strategies

• Ofer M. Shir
• Amir Yehudayoff

Qualitative and Quantitative Assessment of Step Size Adaptation Rules

• Oswin Krause
• Tobias Glasmachers
• Christian Igel

Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling

• Asma Atamna
• Anne Auger
• Nikolaus Hansen