Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/9093
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dc.contributor.authorYeung, David W. K.en_US
dc.contributor.authorDr. ZHANG Yingxuan, Cynthiaen_US
dc.date.accessioned2024-03-19T05:50:32Z-
dc.date.available2024-03-19T05:50:32Z-
dc.date.issued2023-
dc.identifier.citationApplied Mathematics, 2023, vol. 14(1), pp.57-81.en_US
dc.identifier.issn2152-7385-
dc.identifier.issn2152-7393-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/9093-
dc.description.abstractMultiple objectives to be optimized simultaneously are prevalent in real-life problems. This paper develops a new Pareto Method for bi-objective optimization which yields analytical solutions. The Pareto optimal front is obtained in closed-form, enabling the derivation of various solutions in a convenient and efficient way. The advantage of analytical solution is the possibility of deriving accurate, exact and well-understood solutions, which is especially useful for policy analysis. An extension of the method to include multiple objectives is provided with the objectives being classified into two types. Such an extension expands the applicability of the developed techniques.en_US
dc.language.isoenen_US
dc.relation.ispartofApplied Mathematicsen_US
dc.titleBi-objective optimization: A pareto method with analytical solutionsen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.4236/am.2023.141004.-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Business Administration-
Appears in Collections:Business Administration - Publication
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