Difference between revisions of "FOGA 2019"
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|Acronym =FOGA 2019 | |Acronym =FOGA 2019 | ||
|End date =2019-08-29 | |End date =2019-08-29 | ||
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| + | |ISBN =978-1-4503-6254-2 | ||
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''Enter your description here. Maybe just paste in the call for papers.'' | ''Enter your description here. Maybe just paste in the call for papers.'' | ||
Latest revision as of 01:46, 7 December 2021
Event Rating
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List of all ratings can be found at FOGA 2019/rating
| FOGA 2019 | |
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15th ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV)
| |
| Ordinal | 15 |
| Event in series | FOGA |
| Dates | 2019-08-27 (iCal) - 2019-08-29 |
| Presence | presence |
| Homepage: | https://hpi.de/foga2019/ |
| Location | |
| Location: | DE/BB/Potsdam, DE/BB, DE |
| Important dates | |
| Submissions: | 2019/04/17 |
| Notification: | 2019/06/05 |
| Camera ready due: | 2019/06/21 |
| Registration link: | https://hpi.de/foga2019/registration/ |
| Early bird student: | € 250 / {{{Early bird fee reduced}}} (reduced) |
| On site student: | € 450 / {{{On site fee reduced}}} (reduced) |
| Early bird regular: | € 400 |
| On site regular: | € 600 |
| Papers: | Submitted 31 / Accepted 15 (48.4 %) |
| Committees | |
| Organizers: | Tobias Friedrich |
| PC chairs: | Carola Doerr, Dirk Arnold |
| Keynote speaker: | Rolf H. Möhring |
| Table of Contents | |
Enter your description here. Maybe just paste in the call for papers.
Topics
The FOGA workshop series aims at advancing our understanding of the working principles behind evolutionary algorithms and related randomized search heuristics, such as local search algorithms, differential evolution, ant colony optimization, particle swarm optimization, artificial immune systems, simulated annealing, and other Monte Carlo methods for search and optimization. Connections to related areas, such as Bayesian optimization and direct search, are of interest as well. FOGA is the premier event to discuss advances on the theoretical foundations of these algorithms, tools needed to analyze them, and different aspects of comparing algorithms’ performance. Topics of interest include, but are not limited to:
Run time analysis Mathematical tools suitable for the analysis of search heuristics Fitness landscapes and problem difficulty (On- and offline) configuration and selection of algorithms, heuristics, operators, and parameters Stochastic and dynamic environments, noisy evaluations Constrained optimization Problem representation Complexity theory for search heuristics Multi-objective optimization Benchmarking aspects, including performance measures, the selection of meaningful benchmark problems, and statistical aspects Connection between black-box optimization and machine learning
Submissions covering the entire spectrum of work, ranging from rigorously derived mathematical results to carefully crafted empirical studies, are invited.
This year FOGA will be co-located with the seventh Configuration and Selection of Algorithms (COSEAL) Workshop, organized by Holger Hoos and Marius Lindauer. COSEAL is a workshop series for discussing the most recent advances in the automated configuration and selection of algorithms.