Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/9093
Title: Bi-objective optimization: A pareto method with analytical solutions
Authors: Prof. YEUNG Wing Kay, David 
Dr. ZHANG Yingxuan, Cynthia 
Issue Date: 2023
Source: Applied Mathematics, 2023, vol. 14(1), pp.57-81.
Journal: Applied Mathematics 
Abstract: Multiple 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.
Type: Peer Reviewed Journal Article
URI: http://hdl.handle.net/20.500.11861/9093
ISSN: 2152-7385
2152-7393
DOI: 10.4236/am.2023.141004.
Appears in Collections:Business Administration - Publication

Show full item record

Page view(s)

34
Last Week
4
Last month
checked on Nov 18, 2024

Google ScholarTM

Impact Indices

Altmetric

PlumX

Metrics


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.