Demand allocation with latency cost functions

We address the exact resolution of a Mixed Integer Non Linear Programming model where resources can be activated in order to satisfy a demand (a covering constraint) while minimizing total cost. For each resource, there is a fixed activation cost and a variable cost, expressed by means of latency fu...

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Veröffentlicht in:	Mathematical programming Jg. 132; H. 1-2; S. 277 - 294
Hauptverfasser:	Agnetis, Alessandro, Grande, Enrico, Pacifici, Andrea
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer-Verlag 01.04.2012 Springer Springer Nature B.V
Schlagworte:	Activation Algorithms Analysis Applied sciences Branch & bound algorithms Calculus of variations and optimal control Calculus of Variations and Optimal Control; Optimization Combinatorics Cost function Costs Demand Exact sciences and technology Flows in networks. Combinatorial problems Full Length Paper Integer programming Linear programming Marketing Mathematical analysis Mathematical and Computational Physics Mathematical Methods in Physics Mathematical models Mathematical programming Mathematics Mathematics and Statistics Mathematics of Computing Nonlinear programming Numerical Analysis Operational research and scientific management Operational research. Management science Sciences and techniques of general use Source code Studies Theoretical 65K05 Resource allocation 90C27 90C30 Branch and bound 90C57 90C25 90C11 65K10 M.I.N.L.P Convex functions 49M37 Latency functions Tree(graph) Constraint Fixed cost Variable cost Iterative method Non linear programming Combinatorial optimization Convex programming Relaxation Allocation Variational calculus Cost function Convex function Mathematical programming Symmetry Branching Enumeration Branch and bound method Linear programming Mixed integer programming Enumeration(counting) Latency Non linear model Implicit enumeration method NP hard problem
ISSN:	0025-5610, 1436-4646
Online-Zugang:	Volltext
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