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Computational results for both models for locating 5 and 10 facilities on a network of 25 nodes are presented, along with a multicriteria approach combining the dispersion and maxisum problems. ... The multicriteria problems are also valuable because they suggest combining the dispersion obective or constraint with other location-allocation problems. ...doi:10.1111/j.1538-4632.1987.tb00133.x fatcat:vnwoqoxrovbmnijcau3esq4biq
We need to solve multicriteria problems with high-dimensional vectors of parameters. ... In addition to developing methodology for stating and solving the problem of multicriteria optimization of cellular network, we have found that 1) defining the feasible solution set is directly related ... Pikhletsky search University "Moscow Power Engineering Institute") for participation in the problem formulation. The authors would like to thank A. ...doi:10.4236/ojop.2013.23008 fatcat:iwe7da6aubeu5pngdp3tiaofbq
The routing in communication networks is typically a multicriteria decision making (MCDM) problem. ... The Russian doll multicriteria decision method is used with a reinforcement learning to optimize the routing in a mobile ad-hoc network. ... In  the authors formulate the routing task in a mobile ad hoc network as a MCDM problem that they solve by the weighted sum method. ...doi:10.1109/is.2010.5548378 dblp:conf/is/PetrowskiABH10 fatcat:b2l27c7nhbekdlyaked4qgvz4m
This chapter analyzes multicriteria continuous, network, and discrete location problems. ... In the network case, the set of Pareto locations is characterized for general networks as well as for tree networks using the concavity and convexity properties of the distance function on the edges. ... , the network multicriteria median location problem (see, for instance, ??) and the multicriteria discrete location problem (see, e.g., ?), among others. ...doi:10.1007/978-3-319-13111-5_9 fatcat:7x2je74em5bbnlfc6j2f3eoati
A mathematical formulation of the optimization task has been presented, including the objective functions and limitations that the solutions have to comply with. ... The proposed decision support tools consist in formulating a research problem in the mathematical language in the form of an optimization task related to the determining of a recycling network entity location ... model of network reorganization with the objective of profitability maximization. ...doi:10.2495/sdp-v8-n1-88-99 fatcat:6wy4ok3h6vawnbyur3la6v2vx4
The selection of the phantom node among the set of alternatives' candidate vehicles is considered as a multicriteria-based problem. ... The phantom node selection problem is solved by using an analytical network process (ANP) by considering different traffic scenarios. ... Analytical network process has been used to deal with such problem. ...doi:10.1155/2018/7697324 fatcat:lrudh6zpxnc4pkpgepy774mufy
function, i.e. present the methodology of solving complex problems associated with ranking of alternatives. ... Taking into account the significance of selection and ranking of different locations, it is necessary to compare, as objectively as possible, the influences of various criteria and reduce them to a common ... The development of logistic centres with a single network connecting satisfies a broader set of objectives of different interest groups from national, regional, municipal and city governments to the carrier's ...doi:10.3846/16484142.2013.864328 fatcat:nxmlek3vtfhgtpsup3sbz3wyem
(D-KSRL; Kaiserslautern) ; Labbe, Martine (B-ULB-GS; Brussels) ; Nickel, Stefan (D-KSRL; Kaiserslautern) Multicriteria network location problems with sum objectives. ... Summary: “In this paper, network location problems with several objectives are discussed, where every single objective is a classi- cal median objective function. ...
The location problem on a network has been extensively treated in the literature. ... Most of the papers take an objective function as given with the problem and concentrate mostly on the algorithmic aspect of optimization. ...
The interfaces facilitate the problem solving process of different types of optimization problems, mainly single and multi-objective programming optimization problems with continuous or integer variables ... It also provides two types of communication interfaces user friendly graphical interface for human interaction and programming interface for machine communication with other third party software systems ... It includes two methods: • Weighted sum of the objectives: Scalarizing problem of weighted sums. Input parameters: The DM sets weights for each objective function. ...doi:10.1515/cait-2015-0049 fatcat:n4eopmhcxnbdnfslcis7kq7twu
This paper presents an analytical model based on graph theory to evaluate SAIDI and SAIFI indices based on the network architecture and the location of remote-controlled reclosers and switches. ... The applied model, in this article, was evaluated on an IEEE 13 bus network using the TOPSIS method to determine the optimal location of the switches and reclosers and to improve the overall reliability ... Since the multi-objective problem is a difficult problem and takes a long time to resolve, the TOPSIS method breaks many senarios that respect the exploitation constraints and solves the problem of improving ...doi:10.11591/ijece.v9i6.pp4625-4636 fatcat:rib42ebwpjas3jxiter5d64r24
The article of Smith deals with Steiner networks. ... MacGregor Smith, Gen- eralized Steiner network problems in engineering design (pp. 119- 161); Jared L. ...
with respect to the impacts of both qualitative and quantitative factors. ... As a hot topic in supply chain management, fuzzy method has been widely used in logistics center location selection to improve the reliability and suitability of the logistics center location selection ... Lee and Lin introduced a fuzzy simple additive weighting approach with objective and subjective criteria under group decision making for location selection  . ...doi:10.1155/2014/347619 pmid:25215319 pmcid:PMC4152960 fatcat:hhpmhth5ercmre7xyghr5gsrvm
The problem with this approach is that it is not adaptive. It is not responsively configurable relative to the type, intensity, or location of the emergency risk. ... The best route is then chosen to be the alternative with the least cost. ... It starts with the problem definition; in this case, the problem that is the determination of the optimal evacuation route. ...doi:10.5194/isprsarchives-xl-2-221-2014 fatcat:jwbrnq3cpfagjipweft6gkgqcq
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