Goal Programming: From Constrained Regression to Bounded Rationality Theories
 Jacinto GonzálezPachón,
 Carlos Romero
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Abstract
The purpose of the paper is to provide a critical overview of the decisionmaking approach known as Goal Programming (GP). The paper starts by tracing the origins of GP back to work by Charnes and Cooper at the end of the 1950s in fields like nonparametric regression, and the analysis of contradictions in nonsolvable linear programming problems. After chronicling its evolution from its original form into a powerful decisionmaking method, the GP approach is linked with the Simonian bounded rationality theories based upon the ‘satisficing’ concept. In this way, several GP models are presented as fruitful vehicles for implementing this kind of ‘satisficing’ philosophy. The last part of the paper presents some critical issues and extensions of the GP approach. The chapter ends by discussing potential extensions, as well as GP’s role for solving complex realworld problems in the near future.
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 Title
 Goal Programming: From Constrained Regression to Bounded Rationality Theories
 Book Title
 Handbook of Multicriteria Analysis
 Pages
 pp 311328
 Copyright
 2010
 DOI
 10.1007/9783540928287_11
 Print ISBN
 9783540928270
 Online ISBN
 9783540928287
 Series Title
 Applied Optimization
 Series Volume
 103
 Series ISSN
 13846485
 Publisher
 Springer Berlin Heidelberg
 Copyright Holder
 SpringerVerlag Berlin Heidelberg
 Additional Links
 Topics
 Industry Sectors
 eBook Packages
 Editors

 Constantin Zopounidis ^{(ID1)}
 Panos M. Pardalos ^{(ID2)}
 Editor Affiliations

 ID1. Dept. Production Engineering, and Management, Technical University of Crete
 ID2. Dept. Industrial & Systems, Engineering, University of Florida
 Authors

 Jacinto GonzálezPachón ^{(1)}
 Carlos Romero ^{(1)}
 Author Affiliations

 1. Universidad Politecnica de Madrid, Madrid, Spain
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