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About 10,000 papers for “Goal programming”

Goal Programming

Jason Papathanasiou, Nikolaos Ploskas · RePEc: Research Papers in Economics

Abstract Goal Programming can be thought as an extension of linear programming to handle multiple goals. The roots of Goal Programming lie in the paper by Charnes et al. (Management Science, 1(2):138–151, 1955) in which they deal with executive compensation methods.

Cited by 0

Goal Programming

Pete Bettinger · RePEc: Research Papers in Economics

Abstract Goal programming is a special extension of linear and mixed integer programming whereby deviations from goals are minimized within an objective function. Thus, in these types of management problems, goals of perhaps very diverse outcomes of forest management (wood production, wildlife, aesthetics, structural conditions, economic value, etc.) and their desired level of achievement need to be defined prior to the application of this problem-solving method. Therefore, one distinct difference between goal programming and straightforward linear or mixed integer programming is the ability of goal programming to recognize these (and other) different types of management outcomes in the objective function of a problem formulation. Further, the goal outcomes can be normalized if their range of measurements is distinctly different. Even further, weights can be devised to force the achievement of certain goals during certain periods of time at the expense, perhaps, of other goals.

Cited by 0

Goal Programming

Jason Papathanasiou, Νικόλαος Πλόσκας · Springer optimization and its applications · 2018

Cited by 5

Goal programming.

Beauvois, Marie-Paul · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · 1974

Licence en sciences mathématiques

Cited by 0

Goal programming

Richard L. Seely, Harvey J. Iglarsh, David L. Edgell · Annals of Tourism Research · 1980

Cited by 7

Meta-goal programming

Rodriguez Uria, M. Victoria, Caballero, Rafael, Ruiz, Francisco et al. · RePEc: Research Papers in Economics

Cited by 0

Neutrosophic Goal Programming

Ibrahim M. Hezam, Mohamed Abdel-Baset, Florentín Smarandache · Figshare · 2018

In this chapter, the goal programming in neutrosophic environment is introduced. The degree of acceptance, indeterminacy and rejection of objectives is considered simultaneous.

Cited by 0Open access

Practical Goal Programming

Dylan Jones, Mehrdad Tamiz · International series in management science/operations research/International series in operations research & management science · 2010

Cited by 389

Meta-goal programming

M.V. Rodrı́guez Urı́a, Rafael Caballero, Francisco Ruiz et al. · European Journal of Operational Research · 2002

Cited by 70

Scheduling Goal programming

Jingpeng Li N, Edmund K. Burke, Tim Curtois et al. · 2011

is a sample cover image for this issue. The actual cover is not yet available at this time.) This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit:

Cited by 0

Interactive Goal Programming

James S. Dyer · Management Science · 1972

The use of goal programming for the solution of the multiple criteria problem is discussed. An extension of this use is presented in the form of an algorithm which requires interaction with the relevant decision-maker in order to obtain certain information regarding his utility function defined over the permissible values of the criteria. This algorithm provides a bridge between goal programming and recently suggested interactive strategies for the optimization of the multiple criteria problem.

Cited by 223