DocumentCode :
2063824
Title :
Convergence analysis and parallel computing implementation for the multiagent coordination optimization algorithm with applications
Author :
Haopeng Zhang ; Qing Hui
Author_Institution :
Dept. of Mech. Eng., Texas Tech Univ., Lubbock, TX, USA
fYear :
2013
fDate :
17-20 Aug. 2013
Firstpage :
825
Lastpage :
830
Abstract :
In this paper, a novel variation of Particle Swarm Optimization (PSO) algorithm, called Multiagent Coordination Optimization (MCO), is implemented in a parallel computing way for practical use by introducing MATLAB built-in function "parfor" into MCO. Then we present the global convergence result for MCO. Besides sharing global optimal solutions with the PSO algorithm, the MCO algorithm integrates cooperative swarm behavior of multiple agents into the update formula by sharing velocity and position information between neighbors to improve its performance. Numerical evaluation of the parallel MCO algorithm is provided in the paper by running the proposed algorithm on supercomputers. Finally, as an application, balanced coordination for damage mitigation and resource allocation in network systems is studied and solved by parallel MCO, serial MCO, and PSO.
Keywords :
mainframes; multi-agent systems; parallel algorithms; particle swarm optimisation; resource allocation; MATLAB built-in function parfor; PSO algorithm; balanced coordination; convergence analysis; damage mitigation; multiagent coordination optimization algorithm; multiple agents cooperative swarm behavior; network systems; parallel MCO algorithm; parallel computing implementation; particle swarm optimization algorithm; resource allocation; serial MCO; supercomputer; update formula; Algorithm design and analysis; Convergence; Hypercubes; Laplace equations; MATLAB; Optimization; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering (CASE), 2013 IEEE International Conference on
Conference_Location :
Madison, WI
ISSN :
2161-8070
Type :
conf
DOI :
10.1109/CoASE.2013.6654050
Filename :
6654050
Link To Document :
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