Difference between revisions of "Event:FOGA 2021"

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(mobo import Concept___Events-migrated)
 
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|Title=16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms
 
|Title=16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms
 
|Ordinal=16
 
|Ordinal=16
|Type=Conference
 
|Homepage=https://www.fhv.at/foga2021
 
|City=Dornbirn
 
|Country=Country:AT
 
|Has host organization=FH Vorarlberg
 
|pageCreator=User:Curator 89
 
|pageEditor=User:Curator 27
 
|contributionType=1
 
 
|In Event Series=Event Series:FOGA
 
|In Event Series=Event Series:FOGA
 
|Single Day Event=no
 
|Single Day Event=no
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|Event Status=as scheduled
 
|Event Status=as scheduled
 
|Event Mode=online
 
|Event Mode=online
 +
|Academic Field=Evolutionary Computation; Computer Science
 +
|Official Website=https://www.fhv.at/foga2021
 +
|DOI=10.25798/vp0a-wh64
 +
|Type=Conference
 +
|pageCreator=User:Curator 89
 +
|pageEditor=User:Curator 27
 +
|contributionType=1
 
}}
 
}}
 
{{Event Deadline}}
 
{{Event Deadline}}
 +
{{Organizer
 +
|Contributor Type=organization
 +
|Organization=Vorarlberg University of Applied Sciences
 +
}}
 +
{{Organizer
 +
|Contributor Type=organization
 +
|Organization=Special Interest Group on Genetic and Evolutionary Computation, Association for Computing Machinery
 +
}}
 +
{{Event Metric}}
 
{{S Event}}
 
{{S Event}}
 
Topics of interest include, but are not limited to:
 
Topics of interest include, but are not limited to:

Latest revision as of 07:19, 12 September 2023

Deadlines
organization
organization
Metrics
Venue
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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
   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
   Connections between black-box optimization and machine learning
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