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Selected Methods for Designing Monetary and Fiscal Targeting Rules Within the Policy Mix Framework. [PDF]

Entropy (Basel)
Przybylska-Mazur A.
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A New Framework for Job Shop Integrated Scheduling and Vehicle Path Planning Problem. [PDF]

Sensors (Basel)
Li R, Mao J, Wu X, Zhou W, Qian C, Du H.
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Support vector machines using multi objective programming and goal programming

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02., 2004
Support vector machines (SVMs) are now thought as a powerful method for solving pattern recognition problems. SVMs are usually formulated as quadratic programming. Using another distance function, SVMs are formulated as linear programming. SVMs generally tend to make overlearning.
H. Nakayama, T. Asada
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Support Vector Regression Based on Goal Programming and Multi-objective Programming

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006
Support vector machine (SVM) is gaining much popularity as a powerful machine learning technique. SVM was originally developed for pattern classification and later extended to regression. One of main features of SVM is that it generalizes the maximal margin linear classifiers into high dimensional feature spaces through nonlinear mappings defined ...
H. Nakayama, null Yeboon Yun
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Destination and Number of Flight Determination Using Multi Objective Goal Programming and Integer Linear Programming

Proceedings of the 4th International Conference on Industrial and Business Engineering, 2018
A state airline company has plans to open a new aviation business, from charter business and petroleum transport, to a regular flight. This condition is triggered by the development of Indonesia archipelago and the increasing number of aircraft users due to Indonesia's geographical conditions where each island is separated by water.
Fauzia Dianawati, Liananda Deliputri
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Multi-Objective Programming and Goal Programming

2003
This book gives the reader an insight into the state of the art in the field of multiobjective (linear, nonlinear and combinatorial) programming, goal programming and multiobjective metaheuristics. The 26 papers describe all relevant trends in this fields of research .
Tetsuzo Tanino, Tamaki Tanaka, Masahiro Inuiguchi   +2 more
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Finding a solution for Multi-Objective Linear Fractional Programming problem based on goal programming and Data Envelopment Analysis

RAIRO - Operations Research, 2017
Summary: The multi-objective linear fractional programming is an interesting topic with many applications in different fields. Until now, various algorithms have been proposed in order to solve the multi-objective linear fractional programming (MOLFP) problem.
Jahanshahloo, G. R., Talebian, B., Lotfi, F. Hosseinzadeh, Sadeghi, J.   +3 more
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Multi-objective vehicle routing problem with time windows using goal programming and genetic algorithm

Applied Soft Computing, 2010
This paper presents a new model and solution for multi-objective vehicle routing problem with time windows (VRPTW) using goal programming and genetic algorithm that in which decision maker specifies optimistic aspiration levels to the objectives and deviations from those aspirations are minimized.
Keivan Ghoseiri, Seyed Farid Ghannadpour
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Neutrosophic Goal Geometric Programming Problem and Its Application to Multi-objective Reliability Optimization Model

International Journal of Fuzzy Systems, 2018
This paper presents the goal geometric programming method in neutrosophic environment. Neutrosophic set is one of the most useful tools to express uncertainty, impreciseness in a more general way compare to fuzzy set and intuitionistic fuzzy set. Thus, the proposed approach is described here as an extension of fuzzy goal geometric programming and ...
Tanmay Kundu, Sahidul Islam
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