On the simplex, interior-point and objective space approaches to multiobjective linear programming
Most Multiple Objective Linear Programming (MOLP) algorithms working in the decision variable space, are based on the simplex algorithm or interior-point method of Linear Programming.
Paschal B Nyiam, Abdellah Salhi
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Eliminating congestion of decision-making units using inverse data envelopment analysis [PDF]
This survey proposes a new application of the inverse data envelopment analysis (InvDEA) in the problem of merging decision-making units (DMUs) to improve the performance of DMUs by removing congestion.
Tahereh Shahsavan +4 more
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Using Multiple Objective Programming in a Dairy Cow Breeding Program
Multiple-objective programming was used to examine the effects various objectives had on the optimal portfolio of sires chosen for a given breeding problem in a Jersey cow dairy herd. It was assumed that the dairy producer had the following three objectives in the breeding decision: to maximize Net Merit, to minimize inbreeding, and to minimize total ...
P R, Tozer, J R, Stokes
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Fractional Goal Programming for Fuzzy Solid Transportation Problem with Interval Cost
In this paper, we study a solid transportation problem with interval cost using fractional goal programming approach (FGP). In real life applications of the FGP problem with multiple objectives, it is difficult for the decision-maker(s) to determine the ...
B. Radhakrishnan, P. Anukokila
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A goal programming approach in order to minimize logistic costs and maximize service level in supply chain [PDF]
Performance of supply chain usually is measured through multiple-criteria. In this paper, an integrated model is proposed to plan a supply chain with three-echelons of supply, production, and distribution considering both logistic costs and service level,
Kaveh Khalili,, Maryam Tajik Khavh
doaj
The latest advancement in the technology, including the integration of the renewable energy resources, has become a recent trend in the power system infrastructure. Although, this can bring many benefits, excessive integration without proper planning may
S.A. Syed Mustaffa +3 more
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FINANCIAL STRUCTURE OPTIMIZATION BY USING A GOAL PROGRAMMING APPROACH
This paper proposes a new methodology for solving the multiple objective fractional linear programming problems using Taylor’s formula and goal programming techniques.
Tunjo Perić, Zoran Babić
doaj
Multiobjective route finding in a multimode transportation network by NSGA-II
Route finding is an everyday challenge for urban residents. While many route planner applications exist, they cannot find suitable routes based on user preferences. According to user preferences, routing in a multimode urban transportation network can be
Hamed Faroqi
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The political districting of Kuwait: Heuristic approaches
This paper models the political districting of Kuwait as a multiple objective combinatorialoptimization problem, where each political system is assessed in terms of population andvoting equity, geographical contiguity, and social, religious, ethnic ...
SHAFIQAH ALAWADHI, RYM MAHALLA
doaj
Practical common weights scalarizing function approach for efficiency analysis [PDF]
A characteristic of Data Envelopment Analysis (DEA) is to allow individual decision making units (DMUs) to select the factor weights which are the most advantageous for them in calculating their efficiency scores.
Alireza Alinezhad +3 more
doaj

