Tracking non-stationary optimal solution by particle swarm optimizer

X. Cui, C. T. Hardin, R. K. Ragade, T. E. Potok, A. S. Elmaghraby

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

Abstract

In the real world, we have to frequently deal with searching for and tracking an optimal solution in a dynamic environment. This demands that the algorithm not only find the optimal solution but also track the trajectory of the solution in a dynamic environment. Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can find an optimal, or near optimal, solution to a numerical and qualitative problem. However, the traditional PSO algorithm lacks the ability to track the optimal solution in a dynamic environment. In this paper, we present a modified PSO algorithm that can be used for tracking a non-stationary optimal solution in a dynamically changing environment.

Original languageEnglish
Title of host publicationProceedings - Sixth Int. Conf. on Softw. Eng., Artif. Intelligence, Networking and Parallel/Distributed Computing and First ACIS Int. Workshop on Self-Assembling Wireless Networks, SNPD/SAWN 2005
Pages133-138
Number of pages6
DOIs
StatePublished - 2005
Event6th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and 1st ACIS International Workshop on Self-Assembling Wireless Networks, SNPD/SAWN 2005 - Towson, MD, United States
Duration: May 23 2005May 25 2005

Publication series

NameProceedings - Sixth Int. Conf. on Softw. Eng., Artificial Intelligence, Netw. and Parallel/Distributed Computing and First ACIS Int. Workshop on Self-Assembling Wireless Netw., SNPD/SAWN 2005
Volume2005

Conference

Conference6th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and 1st ACIS International Workshop on Self-Assembling Wireless Networks, SNPD/SAWN 2005
Country/TerritoryUnited States
CityTowson, MD
Period05/23/0505/25/05

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