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REGULATION OF THE RELATIONSHIP BETWEEN ADDITIVE REDUCTION AND METRICS METHODS
Вестник Дагестанского государственного технического университета: Технические науки, 2017 Objectives. The aim of the work is to determine the relationship between generalised criterion and target programming methods.Methods. The paper considers the aggregation operation that underlies many decision-making procedures used in input-output ...
E. M. Aristova
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Multi-objective Optimization and its Engineering Applications [PDF]
, 2005 Many practical optimization problems usually have several conflicting objectives. In those multi-objective optimization, no solution optimizing all objective functions simultaneously exists in general.
Nakayama, Hirotaka
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Pareto optimality solution of the Gauss-Helmert model [PDF]
Acta Geodaetica et Geophysica, 2013 The Pareto optimality method is applied to the parameter estimation of the Gauss-Helmert weighted 2D similarity transformation assuming that there are measurement errors and/or modeling inconsistencies. In some cases of parametric modeling, the residuals to be minimized can be expressed in different forms resulting in different values for the estimated
Paláncz, B. +2 more
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The Scientific World Journal, 2014 Network reconfiguration is an alternative to reduce power losses and optimize the operation of power distribution systems. In this paper, an encoding scheme for evolutionary algorithms is proposed in order to search efficiently for the Pareto-optimal ...
J. L. Guardado +4 more
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Energies, 2015 In this study, the multi-objective optimization of an indirect forced-circulation solar water heating (SWH) system was performed to obtain the optimal configuration that minimized the life cycle cost (LCC) and maximized the life cycle net energy saving ...
Myeong Jin Ko
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Local Optimal Sets and Bounded Archiving on Multi-objective NK-Landscapes with Correlated Objectives [PDF]
, 2014 The properties of local optimal solutions in multi-objective combinatorial optimization problems are crucial for the effectiveness of local search algorithms, particularly when these algorithms are based on Pareto dominance.
E. Zitzler +11 more
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Computing the set of Epsilon-efficient solutions in multiobjective space mission design [PDF]
, 2011 In this work, we consider multiobjective space mission design problems. We will start from the need, from a practical point of view, to consider in addition to the (Pareto) optimal solutions also nearly optimal ones.
Carlos A. Coello Coello +11 more
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A biobjective method for sample allocation in stratified sampling [PDF]
, 2006 The two main and contradicting criteria guiding sampling design are accuracy of estimators and sampling costs. In stratified random sampling, the sample size must be allocated to strata in order to optimize both objectives.
Carrizosa Priego, Emilio José +1 more
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Advances in Civil Engineering, 2021 In this paper, a risk-based multiobjective optimal seismic design method for reinforced concrete (RC) piers is proposed. This method is used to determine the size and reinforcement ratios of piers to minimize the seismic risk of bridge systems and the ...
Sicong Hu +4 more
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Insurance with multiple insurers: A game-theoretic approach [PDF]
, 2017 This paper studies the set of Pareto optimal insurance contracts and the core of an insurance game. Our setting allows multiple insurers with translation invariant preferences.
Asimit, A.V., Boonen, T. J.
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