Multiple-objective genetic algorithm using the multiple criteria decision making method TOPSIS [PDF]
, 2009 The so called second generation of Multi-Objective Evolutionary Algorithms (MOEAs) like NSGA-II, are highly efficient and obtain Pareto optimal fronts characterized mainly by a wider spread and visually distributed fronts.
Galván, Blas +3 more
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Sausage Blending Using Multiple Objective Linear Programming [PDF]
Single objective cost minimization linear programming models are used as computerized decision-aids in sausage manufacturing (hot dogs, bologna, salami, etc.). However, sausage blending is clearly a problem with multiple conflicting criteria (cost, color,
Ralph E. Steuer
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Intelligent Systems with ApplicationsIn many settings, such as project or publication selection, expert reviewers play a pivotal role, as their assessments serve as the primary basis for determining a project's prospective value. The effectiveness of matching and assigning qualified experts
Meltem Aksoy +2 more
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Time Dependency in Multiple Objective Dynamic Programming
Journal of Mathematical Analysis and Applications, 1993 The paper presents a theoretical and algorithmic development for the problem of path planning in networks including multiple time dependent costs on the links. The goal is to compute all nondominated paths in an efficient computational procedure. A general network, not assumed to be acyclic is considered.
Kostreva, M.M., Wiecek, M.M.
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An exact method for a discrete multiobjective linear fractional optimization [PDF]
Integer linear fractional programming problem with multiple objective MOILFP is an important field of research and has not received as much attention as did multiple objective linear fractional programming.
Chergui, M. E-A, Moulai, M.
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Idea by multiple objective programming [PDF]
, 2020 [[abstract]]The purpose of this paper is to propose a multiple objective programming (MOP) for imprecise data envelopment analysis (IDEA). The proposed model has four advantages: (1) Unlike both Despotis and Smirlis's and Cooper et al.'s methods, the ...
余菁蓉, Yu, JR
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Eliminating congestion of decision-making units using inverse data envelopment analysis [PDF]
Journal of Mahani Mathematical ResearchThis 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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Stochastic Approach versus Multiobjective Approach for Obtaining Efficient Solutions in Stochastic Multiobjective Programming Problems [PDF]
In this work, we deal with obtaining efficient solutions for stochastic multiobjective programming problems. In general, these solutions are obtained in two stages: in one of them, the stochastic problem is transformed into its equivalent deterministic ...
Mª del Mar Muñoz +3 more
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Analysis and Comparisons of some Solution Concepts for Stochastic Programming Problems [PDF]
The aim of this study is to analyse the resolution of Stochastic Programming Problems in which the objective function depends on parameters which are continuous random variables with a known distribution probability.
María del Mar Muñoz +3 more
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Reference Direction Approach To Multiple Objective Linear Programming: Historical Overview [PDF]
, 1996 . The purpose of this paper is to provide a historical overview and state-of-art review of the development of the reference direction approach to multiple objective linear programming, originally proposed by Korhonen and Laakso [1986a].
Korhonen, P., Pekka Korhonen
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