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17th FOGA 2023: Potsdam, Germany
- Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2023, Potsdam, Germany, 30 August 2023 - 1 September 2023. ACM 2023
- José Antonio Lozano:
Analyzing the Fourier Representation of Permutation-Based Combinatorial Optimization Problems. 1 - Carola Doerr:
Bridging Theory and Practice in Evolutionary Computation? 2 - Denis Antipov, Aneta Neumann, Frank Neumann:
Rigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax. 3-14 - Kirill A. Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein:
Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations. 15-26 - Luke Branson, Andrew M. Sutton, Xiankun Yan:
Finding Antimagic Labelings of Trees by Evolutionary Search. 27-37 - Deyao Chen, Maxim Buzdalov, Carola Doerr, Nguyen Dang:
Using Automated Algorithm Configuration for Parameter Control. 38-49 - Henning Cui, David Pätzel, Andreas Margraf, Jörg Hähner:
Weighted Mutation of Connections To Mitigate Search Space Limitations in Cartesian Genetic Programming. 50-60 - Paul Fischer, Emil Lundt Larsen, Carsten Witt:
First Steps Towards a Runtime Analysis of Neuroevolution. 61-72 - Mario Alejandro Hevia Fajardo, Per Kristian Lehre, Shishen Lin:
Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation. 73-83 - Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck:
General Boolean Function Benchmark Suite. 84-95 - Jack Kearney, Frank Neumann, Andrew M. Sutton:
Fixed-Parameter Tractability of the (1 + 1) Evolutionary Algorithm on Random Planted Vertex Covers. 96-104 - Per Kristian Lehre, Xiaoyu Qin:
Self-adaptation Can Improve the Noise-tolerance of Evolutionary Algorithms. 105-116 - Amir Omeradzic, Hans-Georg Beyer:
Convergence Properties of the (μ/μI, λ)-ES on the Rastrigin Function. 117-128 - 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. 129-139 - Eric O. Scott, Kenneth A. De Jong:
First Complexity Results for Evolutionary Knowledge Transfer. 140-151 - Darrell Whitley, Gabriela Ochoa, Francisco Chicano:
Partition Crossover can Linearize Local Optima Lattices of k-bounded Pseudo-Boolean Functions. 152-162
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