FOGA 2019

The document "FOGA 2019" was published on "2023-09-12T09:18:26" on the website "ConfIDent" under the URL https://confident-conference.org/index.php/Event:FOGA 2019.

The document "FOGA 2019" describes an event in the sense of a conference.

The document "FOGA 2019" contains information about the event "FOGA 2019" with start date "2019/08/27" and end date "2019/08/29".

The event "FOGA 2019" is part of the event series identified by [[Event Series:FOGA]]

Deadlines

2019-06-05

2019-06-21

2019-04-17

17 Apr 2019

Submission

5 Jun 2019

Notification

21 Jun 2019

Camera-Ready

organization

Special Interest Group on Genetic and Evolutionary Computation, Association for Computing Machinery

organization

Hasso Plattner Institute

Metrics

Submitted Papers

31

Accepted Papers

15

Venue

Hasso Plattner Institute, Potsdam, Brandenburg, Germany

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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.