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Journal of the Operational Research Society Volume 51, 2000 - Issue 3
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Theoretical Paper

Bi-objective optimisation with multiple decision-makers: a convex approach to attain majority solutions

S L C OliveiraUniversity of CampinasBrazilCorrespondence[email protected]
&
P A V FerreiraUniversity of CampinasBrazil
Pages 333-340 | Received 01 Jan 1998, Accepted 01 Oct 1999, Published online: 21 Dec 2017

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Read on this site (2)

Yipeng Huang, Andréa Cynthia Santos & Christophe Duhamel. (2020) Bi-objective methods for road network problems with disruptions and connecting requirements. Journal of the Operational Research Society 71:12, pages 1959-1971.
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Md. Abu Talhamainuddin Ansary & Geetanjali Panda. (2019) A sequential quadratically constrained quadratic programming technique for a multi-objective optimization problem. Engineering Optimization 51:1, pages 22-41.
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Articles from other publishers (4)

M. El Maghri & Y. Elboulqe. (2024) A reduced Jacobian method with full convergence property. Optimization Letters.
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Md Abu Talhamainuddin Ansary & Geetanjali Panda. (2020) A Sequential Quadratic Programming Method for Constrained Multi-objective Optimization Problems. Journal of Applied Mathematics and Computing 64:1-2, pages 379-397.
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Sven Leyffer. (2009) A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems. INFORMS Journal on Computing 21:2, pages 257-267.
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Thierry Marchant. (2007) An axiomatic characterization of different majority concepts. European Journal of Operational Research 179:1, pages 160-173.
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