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Computing bounds for the capacitated multifacility Weber problem by branch and price and Lagrangean relaxation

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Computing bounds for the capacitated multifacility Weber problem by branch and price and Lagrangean relaxation. / Boyacı, Burak; Altınel, İ. Kuban; Aras, Necati.
2009. Abstract from EURO XXIII, Bonn, Germany.

Research output: Contribution to conference - Without ISBN/ISSN Abstract

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APA

Boyacı, B., Altınel, İ. K., & Aras, N. (2009). Computing bounds for the capacitated multifacility Weber problem by branch and price and Lagrangean relaxation. Abstract from EURO XXIII, Bonn, Germany.

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Boyacı, Burak ; Altınel, İ. Kuban ; Aras, Necati. / Computing bounds for the capacitated multifacility Weber problem by branch and price and Lagrangean relaxation. Abstract from EURO XXIII, Bonn, Germany.

Bibtex

@conference{20ead5bf22cf402b96c5f5749c1ce74e,
title = "Computing bounds for the capacitated multifacility Weber problem by branch and price and Lagrangean relaxation",
abstract = "The capacitated multi-facility Weber problem is concerned with locating m facilities in the plane, and allocating their capacities to n customers at minimum total cost, which is a non-convex optimization problem and difficult to solve. In this work we relax the capacity constraints and solve the uncapacitated Lagrangean subproblems every step of a subgradient algorithm. Their objectives have facility dependent distance functions, which is different than the usual multifacility Weber problem. We solve them by branch-and-price using column generation with concave minimization pricing.",
author = "Burak Boyacı and Altınel, {İ. Kuban} and Necati Aras",
year = "2009",
month = jul,
day = "1",
language = "English",
note = "EURO XXIII ; Conference date: 01-07-2009",

}

RIS

TY - CONF

T1 - Computing bounds for the capacitated multifacility Weber problem by branch and price and Lagrangean relaxation

AU - Boyacı, Burak

AU - Altınel, İ. Kuban

AU - Aras, Necati

PY - 2009/7/1

Y1 - 2009/7/1

N2 - The capacitated multi-facility Weber problem is concerned with locating m facilities in the plane, and allocating their capacities to n customers at minimum total cost, which is a non-convex optimization problem and difficult to solve. In this work we relax the capacity constraints and solve the uncapacitated Lagrangean subproblems every step of a subgradient algorithm. Their objectives have facility dependent distance functions, which is different than the usual multifacility Weber problem. We solve them by branch-and-price using column generation with concave minimization pricing.

AB - The capacitated multi-facility Weber problem is concerned with locating m facilities in the plane, and allocating their capacities to n customers at minimum total cost, which is a non-convex optimization problem and difficult to solve. In this work we relax the capacity constraints and solve the uncapacitated Lagrangean subproblems every step of a subgradient algorithm. Their objectives have facility dependent distance functions, which is different than the usual multifacility Weber problem. We solve them by branch-and-price using column generation with concave minimization pricing.

M3 - Abstract

T2 - EURO XXIII

Y2 - 1 July 2009

ER -