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FOGA
1990
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2010
2023
1990
2023
Keyphrases
Publications
2023
Darrell Whitley
,
Gabriela Ochoa
,
Francisco Chicano
Partition Crossover can Linearize Local Optima Lattices of k-bounded Pseudo-Boolean Functions.
FOGA
(2023)
Mario Alejandro Hevia Fajardo
,
Per Kristian Lehre
,
Shishen Lin
Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation.
FOGA
(2023)
Carola Doerr
Bridging Theory and Practice in Evolutionary Computation?
FOGA
(2023)
Jack Kearney
,
Frank Neumann
,
Andrew M. Sutton
Fixed-Parameter Tractability of the (1 + 1) Evolutionary Algorithm on Random Planted Vertex Covers.
FOGA
(2023)
José Antonio Lozano
Analyzing the Fourier Representation of Permutation-Based Combinatorial Optimization Problems.
FOGA
(2023)
Henning Cui
,
David Pätzel
,
Andreas Margraf
,
Jörg Hähner
Weighted Mutation of Connections To Mitigate Search Space Limitations in Cartesian Genetic Programming.
FOGA
(2023)
Amir Omeradzic
,
Hans-Georg Beyer
Convergence Properties of the (μ/μI, λ)-ES on the Rastrigin Function.
FOGA
(2023)
Raphael Patrick Prager
,
Konstantin Dietrich
,
Lennart Schneider
,
Lennart Schäpermeier
,
Bernd Bischl
,
Pascal Kerschke
,
Heike Trautmann
,
Olaf Mersmann
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.
FOGA
(2023)
Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2023, Potsdam, Germany, 30 August 2023 - 1 September 2023
FOGA
(2023)
Roman Kalkreuth
,
Zdenek Vasícek
,
Jakub Husa
,
Diederick Vermetten
,
Furong Ye
,
Thomas Bäck
General Boolean Function Benchmark Suite.
FOGA
(2023)
Per Kristian Lehre
,
Xiaoyu Qin
Self-adaptation Can Improve the Noise-tolerance of Evolutionary Algorithms.
FOGA
(2023)
Paul Fischer
,
Emil Lundt Larsen
,
Carsten Witt
First Steps Towards a Runtime Analysis of Neuroevolution.
FOGA
(2023)
Kirill Antonov
,
Anna V. Kononova
,
Thomas Bäck
,
Niki van Stein
Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations.
FOGA
(2023)
Eric O. Scott
,
Kenneth A. De Jong
First Complexity Results for Evolutionary Knowledge Transfer.
FOGA
(2023)
Denis Antipov
,
Aneta Neumann
,
Frank Neumann
Rigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax.
FOGA
(2023)
Deyao Chen
,
Maxim Buzdalov
,
Carola Doerr
,
Nguyen Dang
Using Automated Algorithm Configuration for Parameter Control.
FOGA
(2023)
Luke Branson
,
Andrew M. Sutton
,
Xiankun Yan
Finding Antimagic Labelings of Trees by Evolutionary Search.
FOGA
(2023)
2021
Jakob Bossek
,
Dirk Sudholt
Do additional optima speed up evolutionary algorithms?
FOGA
(2021)
Luke Branson
,
Andrew M. Sutton
Focused jump-and-repair constraint handling for fixed-parameter tractable graph problems.
FOGA
(2021)
Carsten Witt
On crossing fitness valleys with majority-vote crossover and estimation-of-distribution algorithms.
FOGA
(2021)
Dogan Corus
,
Pietro S. Oliveto
,
Donya Yazdani
Automatic adaptation of hypermutation rates for multimodal optimisation.
FOGA
(2021)
FOGA '21: Foundations of Genetic Algorithms XVI, Virtual Event, Austria, September 6-8, 2021
FOGA
(2021)
Jonathan Heins
,
Jakob Bossek
,
Janina Pohl
,
Moritz Seiler
,
Heike Trautmann
,
Pascal Kerschke
On the potential of normalized TSP features for automated algorithm selection.
FOGA
(2021)
Denis Antipov
,
Semen Naumov
The effect of non-symmetric fitness: the analysis of crossover-based algorithms on RealJump functions.
FOGA
(2021)
Mario Alejandro Hevia Fajardo
,
Dirk Sudholt
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function.
FOGA
(2021)
Nils Müller
,
Tobias Glasmachers
Non-local optimization: imposing structure on optimization problems by relaxation.
FOGA
(2021)
Adel Nikfarjam
,
Jakob Bossek
,
Aneta Neumann
,
Frank Neumann
Computing diverse sets of high quality TSP tours by EAX-based evolutionary diversity optimisation.
FOGA
(2021)
Laurent Meunier
,
Iskander Legheraba
,
Yann Chevaleyre
,
Olivier Teytaud
Asymptotic convergence rates for averaging strategies.
FOGA
(2021)
2019
Vahid Roostapour
,
Mojgan Pourhassan
,
Frank Neumann
Analysis of baseline evolutionary algorithms for the packing while travelling problem.
FOGA
(2019)
Patrick Spettel
,
Hans-Georg Beyer
,
Michael Hellwig
Steady state analysis of a multi-recombinative meta-ES on a conically constrained problem with comparison to σSA and CSA.
FOGA
(2019)
Denis Antipov
,
Benjamin Doerr
,
Vitalii Karavaev
A tight runtime analysis for the (1 + (λ, λ)) GA on leadingones.
FOGA
(2019)
Per Kristian Lehre
,
Phan Trung Hai Nguyen
On the limitations of the univariate marginal distribution algorithm to deception and where bivariate EDAs might help.
FOGA
(2019)
Daiki Morinaga
,
Youhei Akimoto
Generalized drift analysis in continuous domain: linear convergence of (1 + 1)-ES on strongly convex functions with Lipschitz continuous gradients.
FOGA
(2019)
Feng Shi
,
Frank Neumann
,
Jianxin Wang
Runtime analysis of evolutionary algorithms for the depth restricted (1, 2)-minimum spanning tree problem.
FOGA
(2019)
Jakob Bossek
,
Pascal Kerschke
,
Aneta Neumann
,
Markus Wagner
,
Frank Neumann
,
Heike Trautmann
Evolving diverse TSP instances by means of novel and creative mutation operators.
FOGA
(2019)
Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2019, Potsdam, Germany, August 27-29, 2019.
FOGA
(2019)
Bilel Derbel
,
Arnaud Liefooghe
,
Sébastien Vérel
,
Hernán E. Aguirre
,
Kiyoshi Tanaka
New features for continuous exploratory landscape analysis based on the SOO tree.
FOGA
(2019)
Hsien-Kuei Hwang
,
Carsten Witt
Sharp bounds on the runtime of the (1+1) EA via drift analysis and analytic combinatorial tools.
FOGA
(2019)
Benjamin Doerr
An exponential lower bound for the runtime of the compact genetic algorithm on jump functions.
FOGA
(2019)
Jonathan E. Rowe
,
Aishwaryaprajna
The benefits and limitations of voting mechanisms in evolutionary optimisation.
FOGA
(2019)
Jakob Bossek
,
Dirk Sudholt
Time complexity analysis of RLS and (1 + 1) EA for the edge coloring problem.
FOGA
(2019)
Vasil Khalidov
,
Maxime Oquab
,
Jérémy Rapin
,
Olivier Teytaud
Consistent population control: generate plenty of points, but with a bit of resampling.
FOGA
(2019)
Frank Neumann
,
Andrew M. Sutton
Runtime analysis of the (1 + 1) evolutionary algorithm for the chance-constrained knapsack problem.
FOGA
(2019)
Johannes Lengler
,
Xun Zou
Exponential slowdown for larger populations: the (µ + 1)-EA on monotone functions.
FOGA
(2019)
2017
Mojgan Pourhassan
,
Tobias Friedrich
,
Frank Neumann
On the Use of the Dual Formulation for Minimum Weighted Vertex Cover in Evolutionary Algorithms.
FOGA
(2017)
Asma Atamna
,
Anne Auger
,
Nikolaus Hansen
Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling.
FOGA
(2017)
Tobias Friedrich
,
Timo Kötzing
,
Francesco Quinzan
,
Andrew M. Sutton
Resampling vs Recombination: a Statistical Run Time Estimation.
FOGA
(2017)
Mikkel Thorup
Fast and Powerful Hashing using Tabulation.
FOGA
(2017)
Oswin Krause
,
Tobias Glasmachers
,
Christian Igel
Qualitative and Quantitative Assessment of Step Size Adaptation Rules.
FOGA
(2017)
Hisao Ishibuchi
,
Ryo Imada
,
Yu Setoguchi
,
Yusuke Nojima
Hypervolume Subset Selection for Triangular and Inverted Triangular Pareto Fronts of Three-Objective Problems.
FOGA
(2017)