Multicriteria network location problems with sum objectives

نویسندگان

  • Horst W. Hamacher
  • Martine Labbé
  • Stefan Nickel
چکیده

In this paper network location problems with several objectives are discussed, where every single objective is a classical median objective function. We will look at the problem of nding Pareto optimal locations and lexicographically optimal locations. It is shown that for Pareto optimal locations in undirected networks no node dominance result can be shown. Structural results as well as eecient algorithms for these multi-criteria problems are developed. In the special case of a tree network a generalization of Goldman's dominance algorithm for nding Pareto locations is presented.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multicriteria Semi-Obnoxious Network Location Problems (MSNLP) with Sum and Center Objectives

Locating a facility is often modeled as either the maxisum or the minisum problem, re ecting whether the facility is undesirable (obnoxious) or desirable. But many facilities are both desirable and undesirable at the same time, e.g. an airport. This can be modeled as a multicriteria network location problem, where some of the sumobjectives are maximized (push e ect) and some of the sum-objectiv...

متن کامل

On the approximability of location and network design problems

This thesis investigates the approximability of several NP-hard location and network design problems. We present polynomial time approximation algorithms with a performance guarantee on the worst-case quality of the output solution. We also establish lower-bound results (non-approximability results) which show that the performances of our algorithms are essentially the best unless P NP or NP DT...

متن کامل

Decision Evaluation for Complex Risk Network Systems (DECERNS)

A new framework, Decerns, for multicriteria decision analysis (MCDA) of a wide range of practical problems on risk management is introduced. Decerns framework contains a library of modules that are the basis for two scalable systems: DecernsMCDA for analysis of multicriteria problems, and DecernsSDSS for multicriteria analysis of spatial options. DecernsMCDA includes well known MCDA methods and...

متن کامل

Generalized Multicriteria Location Problems

This work concerns a special class of multicriteria optimization problems, obtained from a given single-facility multicriteria planar location problem by adding several new cost functions. By means of a decomposition approach, based on the concept of Pareto reducibility, we have developed together with S. Alzorba and Chr. Günther an implementable algorithm for generating efficient solutions of ...

متن کامل

Author's Personal Copy Four-layer Framework for Combinatorial Optimization Problems Domain Q

Four-layer framework for combinatorial optimization problems/models domain is suggested for applied problems structuring and solving: (1) basic combinatorial models and multicriteria decision making problems (e.g., clustering, knapsack problem, multiple choice problem, multicriteria ranking, assignment/allocation); (2) composite models/procedures (e.g., multicriteria combinatorial problems, mor...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Networks

دوره 33  شماره 

صفحات  -

تاریخ انتشار 1999