Title
Bounds for global optimization of capacity expansion and flow assignment problems
Abstract
This paper provides new bounds related to the global optimization of the problem of mixed routing and bandwidth allocation in telecommunication systems. The combinatorial nature of the problem, related to arc expansion decisions, is embedded in a continuous objective function that encompasses congestion and investment line costs. It results in a non-convex multicommodity flow problem, but we explore the separability of the objective function and the fact that each associated arc cost function is piecewise-convex. Convexifying each arc cost function enables the use of efficient algorithms for convex multicommodity flow problems, and we show how to calculate sharp bounds for the approximated solutions.
Year
DOI
Venue
2000
10.1016/S0167-6377(00)00027-4
Oper. Res. Lett.
Keywords
Field
DocType
combinatorial nature,flow assignment problem,non-convex multicommodity flow problem,bandwidth allocation,objective function,approximated solution,separable convexification,network design,capacity expansion of telecommunication systems,continuous objective function,nonconvex multicommodity flow problem,investment line cost,global optimization,convex multicommodity flow problem,capacity expansion,arc cost function,associated arc cost function,cost function,multicommodity flow,assignment problem
Mathematical optimization,Arc (geometry),Global optimization,Network planning and design,Bandwidth allocation,Flow (psychology),Regular polygon,Multi-commodity flow problem,Minimum-cost flow problem,Mathematics
Journal
Volume
Issue
ISSN
26
5
Operations Research Letters
Citations 
PageRank 
References 
8
0.79
7
Authors
2
Name
Order
Citations
PageRank
H. P. L. Luna1171.92
Philippe Mahey217420.95