1988
DOI: 10.1080/02331938808843369
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Dualität und algorithmische anwendung beim vektoriellen standortproblem

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Cited by 15 publications
(6 citation statements)
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“…The following result from [50] is a counterpart of the characterization of solutions x ∈ R 2 with G(x) ∈ Eff(G(R 2 ); R q + ) (see Remark 3.1) proposed by the authors in [53], where multiobjective location problems defined by the maximum-norm are considered. Proposition 5.1.…”
Section: 31mentioning
confidence: 99%
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“…The following result from [50] is a counterpart of the characterization of solutions x ∈ R 2 with G(x) ∈ Eff(G(R 2 ); R q + ) (see Remark 3.1) proposed by the authors in [53], where multiobjective location problems defined by the maximum-norm are considered. Proposition 5.1.…”
Section: 31mentioning
confidence: 99%
“…The following preparation allows us to characterize the set χ Eff (G(R 2 ); R q + ) of efficient solutions of the multi-objective location problem (MOLP). In the literature, several characterizations of the set efficient solutions of location problems have been obtained; see, e.g., [50,52,53]. We will adapt here the approach proposed by the authors in [53] which is based on the dual norm to the Manhattan-norm, namely the maximum-norm defined for any (x 1 , x 2 ) ∈ R 2 by…”
Section: 31mentioning
confidence: 99%
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“…those by GERTH, POHLER [5], GERTH, GOPFERT, POHLER [6] and WANKA [9], [lo], the present paper considers contributions concerned with the duality of such problems involving additional restrictions in the form of inequalities. We formu!ate a dual vecterial maximl-rm prohiem and weak duality for a glven general vzctorial minimum problem and a certain SirGng duality reiation for properly efifrc-ient solutions.…”
mentioning
confidence: 99%
“…We formu!ate a dual vecterial maximl-rm prohiem and weak duality for a glven general vzctorial minimum problem and a certain SirGng duality reiation for properly efifrc-ient solutions. I n GERTI:, P~H L E R , G~P F E R T [5], [6], vectorial location problems in Rn without restrictions are considered. In papers -A -.…”
mentioning
confidence: 99%