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Erscheinungsjahr: 
2013
Quellenangabe: 
[Journal:] Journal of Industrial Engineering International [ISSN:] 2251-712X [Volume:] 9 [Publisher:] Springer [Place:] Heidelberg [Year:] 2013 [Pages:] 1-9
Verlag: 
Springer, Heidelberg
Zusammenfassung: 
A very useful multi-objective technique is goal programming. There are many methodologies of goal programming such as weighted goal programming, min-max goal programming, and lexicographic goal programming. In this paper, weighted goal programming is reformulated as goal programming with logarithmic deviation variables. Here, a comparison of the proposed method and goal programming with weighted sum method is presented. A numerical example and applications on two industrial problems have also enriched this paper.
Schlagwörter: 
Goal programming
Geometric programming
Pareto optimality
Nonlinear programming
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