DocumentCode
3631424
Title
The Differential Ant-Stigmergy Algorithm applied to dynamic optimization problems
Author
Peter Korosec;Jurij Silc
Author_Institution
Jo?ef Stefan Institute, Ljubljana, Slovenia
fYear
2009
fDate
5/1/2009 12:00:00 AM
Firstpage
407
Lastpage
414
Abstract
Many real-world problems are dynamic, requiring an optimization algorithm which is able to continuously track a changing optimum over time. In this paper, we present a stigmergy-based algorithm for solving optimization problems with continuous variables, labeled differential ant-stigmergy algorithm (DASA). The DASA is applied to dynamic optimization problems without any modification to the algorithm. The performance of the DASA is evaluated on the set of benchmark problems provided for CEC´2009 Special Session on Evolutionary Computation in Dynamic and Uncertain Environments.
Keywords
"Heuristic algorithms","Ant colony optimization","Evolutionary computation","Humans","Cost function","Control systems","Floating-point arithmetic"
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2009. CEC ´09. IEEE Congress on
ISSN
1089-778X
Print_ISBN
978-1-4244-2958-5
Electronic_ISBN
1941-0026
Type
conf
DOI
10.1109/CEC.2009.4982975
Filename
4982975
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