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Accession Number ADA564206
Title Optimization Techniques for Clustering,Connectivity, and Flow Problems in Complex Networks.
Publication Date Oct 2012
Media Count 7p
Personal Author O. Prokopyev S. Butenko V. Boginski
Abstract This project develops network-based optimization methods for solving problems arising in complex system analysis and wireless networking applications. The study of complex systems is of utmost importance for a number of diverse areas of science, engineering and society, including biochemistry, social sciences, epidemiology, transportation, and telecommunications. The project makes contributions to the state of the art of network-based techniques for data mining of complex systems and virtual backbone-based routing in wireless ad hoc networks. The research in this project focused around the following four major thrusts: (I) Theoretical analysis of new models of clusters in networks; (II) Investigating new approaches to virtual backbone- based routing in wireless networks; (III) Establishing techniques for theoretical analysis of heuristics for inapproximable problems and designing new metaheuristic approaches for the problems of interest; (IV) Developing new models and algorithms for robust optimization and decision making in complex networks under uncertainty.
Keywords Clustering
Complex networks
Computation science
Decision making
Heuristic methods
Mathematical programming
Network flows
Networks
Optimization
Risk
Systems analysis
Uncertainty
Virtual backbone based routing

 
Source Agency Non Paid ADAS
NTIS Subject Category 72E - Operations Research
62 - Computers, Control & Information Theory
Corporate Author Texas A and M Univ., College Station. Dept. of Industrial Engineering.
Document Type Technical report
Title Note Final rept. 1 Sep 2008-30 Aug 2011.
NTIS Issue Number 1302
Contract Number FA9550-08-1-0483

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