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Journal ArticleDOI

A Multicriteria Assignment Problem: A Goal Programming Approach

Sang M. Lee, +1 more
- 01 Aug 1983 - 
- Vol. 13, Iss: 4, pp 75-81
TLDR
A generalized goal programming model is used to resolve a real-world human resource allocation problem involving allocating teachers to 22 private schools in St. Louis, Missouri and provides a solution that balances cost minimization with preference goals of the teachers, administrators, and schools.
Abstract
A generalized goal programming model is used to resolve a real-world human resource allocation problem involving allocating teachers to 22 private schools in St. Louis, Missouri. The model provides a solution that balances cost minimization with preference goals of the teachers, administrators, and schools.

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Journal ArticleDOI

Assignment problems : A golden anniversary survey

TL;DR: A limited survey of what appear to be the most useful of the variations of the assignment problem that have appeared in the literature over the past 50 years and what they are called so as to make it easier for a researcher trying to develop some variation of the assignments problem for a particular application to find the relevant literature.
Journal ArticleDOI

Multi‐objective combinatorial optimization problems: A survey

TL;DR: The present paper is intended to review the existing literature on multi-objective combinatorial optimization (MOCO) problems and examines various classical combinatorials problems in a multi-criteria framework.
Journal ArticleDOI

A Bibliography on the Applications of Mathematical Programming Multiple-objective Methods

TL;DR: A bibliography on applications of multiple-objective methods which use no a priori explicit value function and are complex enough to require mathematical programming aids is given.

An Annotated Bibliography of Multiobjective Combinatorial Optimization

TL;DR: This paper provides an annotated bibliography of multiple objective combinatorial optimization, MOCO, and an annotation of the existing literature in the field organized problem by problem.
Journal ArticleDOI

Multiobjective design of transportation networks: taxonomy and annotation

TL;DR: In this article, a taxonomy to classify this research is presented and a brief history of the use of multiobjective analysis in transportation planning is presented.
References
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Journal ArticleDOI

The Hungarian method for the assignment problem

TL;DR: This paper has always been one of my favorite children, combining as it does elements of the duality of linear programming and combinatorial tools from graph theory, and it may be of some interest to tell the story of its origin this article.
Journal ArticleDOI

The illusion of control.

TL;DR: For instance, this article argued that people treat chance events as controllable and treat success in skill tasks as a fortuitous happening, whereas success in luck or chance activities is apparently uncontrollable.
Journal ArticleDOI

Man versus model of man: some conflicting evidence

TL;DR: In this article, the authors search for bootstrapping behavior in a financial analysis task where 43 professional loan officers predicted business failure from five-ratio financial profiles and found that the most accurate judges tend to outperform their models.
Journal ArticleDOI

A Goal Programming Model for Planning Officer Accessions

TL;DR: A goal programming model for planning officer accessions to the U.S. Navy from various commissioning sources is developed and described in this paper, where present and future requirements for different career specialty areas in the Navy are considered in terms of years of commissioned service and related to various "choke points" where inventories fall short of requirements in officer force structure.
Journal ArticleDOI

Optimising the Location‐Allocation Problem with Multiple Objectives

TL;DR: In this paper, the authors apply the branch and bound integer goal programming approach to the location-allocation problem, which allows the analysis of multiple conflicting goals as an extension of previous solution approaches.
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