An Algorithm for Approximating High-Order Pareto Frontier in Multiobjective Integer Linear Problems

Bibliographic Details
Main Author: Bushenkov, Vladimir
Publication Date: 2011
Other Authors: Fernandes, Manuela
Format: Conference object
Language: eng
Source: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Download full: http://hdl.handle.net/10174/4543
Summary: An algorithm for approximating the Pareto frontier (PF) in multiobjective integer linear problems is presented. As known, the feasible set in the objective space (FSOS) for an integer linear programming problem is not convex and only a few points of its Pareto frontier (so called supported points) can be found when constructing its convex hull. To get these points at the fisrt iteration of our algorithm we construct the convex Edgeworth-Pareto hull (CEPH) of the FSOC, i.e. a broader convex set that has the same Pareto frontier. The algorithm for constructing CEPH is more simple then one for constructing convex hull. It gives the result in the form of both a set of vertices and a system of linear inequalities. Using this information we can specify an unexplored region in the objective space which contains all not found yet Pareto frontier’s points. This region is restricted by the CEPH’s Pareto frontier and the Pareto frontier of the union of cones dominated by corresponding CEPH’s vertices. It can be easily vizualized on computer display. At each iteration, one unexplored subregion is selected to construct its partial CEPH. To formulate this subproblem, vertices and hyperplanes of CEPHs calculated at the previous iterations are used. As a result, new PF’s points for the initial problem can be found and the unexplored area is reduced. The proposed algorithm can be apllied for approximating Pareto frontier in the criteria space till 4-5 dimensions. It can be useful for Decision Support Systems in such areas as forest planning and management, water resources management and etc
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spelling An Algorithm for Approximating High-Order Pareto Frontier in Multiobjective Integer Linear ProblemsMultiobjective optimizationPareto frontierInteger Linear ProgrammingAn algorithm for approximating the Pareto frontier (PF) in multiobjective integer linear problems is presented. As known, the feasible set in the objective space (FSOS) for an integer linear programming problem is not convex and only a few points of its Pareto frontier (so called supported points) can be found when constructing its convex hull. To get these points at the fisrt iteration of our algorithm we construct the convex Edgeworth-Pareto hull (CEPH) of the FSOC, i.e. a broader convex set that has the same Pareto frontier. The algorithm for constructing CEPH is more simple then one for constructing convex hull. It gives the result in the form of both a set of vertices and a system of linear inequalities. Using this information we can specify an unexplored region in the objective space which contains all not found yet Pareto frontier’s points. This region is restricted by the CEPH’s Pareto frontier and the Pareto frontier of the union of cones dominated by corresponding CEPH’s vertices. It can be easily vizualized on computer display. At each iteration, one unexplored subregion is selected to construct its partial CEPH. To formulate this subproblem, vertices and hyperplanes of CEPHs calculated at the previous iterations are used. As a result, new PF’s points for the initial problem can be found and the unexplored area is reduced. The proposed algorithm can be apllied for approximating Pareto frontier in the criteria space till 4-5 dimensions. It can be useful for Decision Support Systems in such areas as forest planning and management, water resources management and etc2012-01-30T13:15:37Z2012-01-302011-06-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10174/4543http://hdl.handle.net/10174/4543engV.Bushenkov, M.Fernandes. An Algorithm for Approximating High-Order Pareto Frontier in Multiobjective Integer Linear Problems - The 21st International Conference on Multiple Criteria Decision Making 13–17 June 2011, Jyväskylä, FinlandsimsimnaoMATbushen@uevora.ptmanuela.fernandes@aim.estt.ipt.pt339Bushenkov, VladimirFernandes, Manuelainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T18:42:45Zoai:dspace.uevora.pt:10174/4543Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:59:49.906318Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv An Algorithm for Approximating High-Order Pareto Frontier in Multiobjective Integer Linear Problems
title An Algorithm for Approximating High-Order Pareto Frontier in Multiobjective Integer Linear Problems
spellingShingle An Algorithm for Approximating High-Order Pareto Frontier in Multiobjective Integer Linear Problems
Bushenkov, Vladimir
Multiobjective optimization
Pareto frontier
Integer Linear Programming
title_short An Algorithm for Approximating High-Order Pareto Frontier in Multiobjective Integer Linear Problems
title_full An Algorithm for Approximating High-Order Pareto Frontier in Multiobjective Integer Linear Problems
title_fullStr An Algorithm for Approximating High-Order Pareto Frontier in Multiobjective Integer Linear Problems
title_full_unstemmed An Algorithm for Approximating High-Order Pareto Frontier in Multiobjective Integer Linear Problems
title_sort An Algorithm for Approximating High-Order Pareto Frontier in Multiobjective Integer Linear Problems
author Bushenkov, Vladimir
author_facet Bushenkov, Vladimir
Fernandes, Manuela
author_role author
author2 Fernandes, Manuela
author2_role author
dc.contributor.author.fl_str_mv Bushenkov, Vladimir
Fernandes, Manuela
dc.subject.por.fl_str_mv Multiobjective optimization
Pareto frontier
Integer Linear Programming
topic Multiobjective optimization
Pareto frontier
Integer Linear Programming
description An algorithm for approximating the Pareto frontier (PF) in multiobjective integer linear problems is presented. As known, the feasible set in the objective space (FSOS) for an integer linear programming problem is not convex and only a few points of its Pareto frontier (so called supported points) can be found when constructing its convex hull. To get these points at the fisrt iteration of our algorithm we construct the convex Edgeworth-Pareto hull (CEPH) of the FSOC, i.e. a broader convex set that has the same Pareto frontier. The algorithm for constructing CEPH is more simple then one for constructing convex hull. It gives the result in the form of both a set of vertices and a system of linear inequalities. Using this information we can specify an unexplored region in the objective space which contains all not found yet Pareto frontier’s points. This region is restricted by the CEPH’s Pareto frontier and the Pareto frontier of the union of cones dominated by corresponding CEPH’s vertices. It can be easily vizualized on computer display. At each iteration, one unexplored subregion is selected to construct its partial CEPH. To formulate this subproblem, vertices and hyperplanes of CEPHs calculated at the previous iterations are used. As a result, new PF’s points for the initial problem can be found and the unexplored area is reduced. The proposed algorithm can be apllied for approximating Pareto frontier in the criteria space till 4-5 dimensions. It can be useful for Decision Support Systems in such areas as forest planning and management, water resources management and etc
publishDate 2011
dc.date.none.fl_str_mv 2011-06-15T00:00:00Z
2012-01-30T13:15:37Z
2012-01-30
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/4543
http://hdl.handle.net/10174/4543
url http://hdl.handle.net/10174/4543
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv V.Bushenkov, M.Fernandes. An Algorithm for Approximating High-Order Pareto Frontier in Multiobjective Integer Linear Problems - The 21st International Conference on Multiple Criteria Decision Making 13–17 June 2011, Jyväskylä, Finland
sim
sim
nao
MAT
bushen@uevora.pt
manuela.fernandes@aim.estt.ipt.pt
339
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eu_rights_str_mv openAccess
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