An application of interactive multi-criteria optimization to air pollution control
In this paper a problem of air pollution control is studied, posing it as a multi-objective control problem of partial differential equations. The original problem, dealing with the optimal management of a set of industrial plants inside a populated area, is formulated by means of the diffusion tran...
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| Vydáno v: | Optimization Ročník 64; číslo 6; s. 1367 - 1380 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Philadelphia
Taylor & Francis
03.06.2015
Taylor & Francis LLC |
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| ISSN: | 0233-1934, 1029-4945 |
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| Abstract | In this paper a problem of air pollution control is studied, posing it as a multi-objective control problem of partial differential equations. The original problem, dealing with the optimal management of a set of industrial plants inside a populated area, is formulated by means of the diffusion transport equation, including a linear reaction term and source terms modelled by Dirac deltas. Introducing adjoint state techniques, the problem transforms into a problem of multi-objective optimization in Banach spaces, where the large number of objective functions discourages the complete search of its Pareto front. Therefore, in order to solve the problem, two interactive methods of multi-objective programming are proposed: the VIA and the STEM algorithms. Finally, the paper illustrates how to combine both algorithms to solve in a more effective way a realistic problem posed in the Metropolitan Area of Guadalajara (Mexico). |
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| AbstractList | In this paper a problem of air pollution control is studied, posing it as a multi-objective control problem of partial differential equations. The original problem, dealing with the optimal management of a set of industrial plants inside a populated area, is formulated by means of the diffusion transport equation, including a linear reaction term and source terms modelled by Dirac deltas. Introducing adjoint state techniques, the problem transforms into a problem of multi-objective optimization in Banach spaces, where the large number of objective functions discourages the complete search of its Pareto front. Therefore, in order to solve the problem, two interactive methods of multi-objective programming are proposed: the VIA and the STEM algorithms. Finally, the paper illustrates how to combine both algorithms to solve in a more effective way a realistic problem posed in the Metropolitan Area of Guadalajara (Mexico). |
| Author | García-Chan, N. Martínez, A. Vázquez-Méndez, M.E. Alvarez-Vázquez, L.J. |
| Author_xml | – sequence: 1 givenname: L.J. surname: Alvarez-Vázquez fullname: Alvarez-Vázquez, L.J. organization: Departamento de Matemática Aplicada II, E.I. Telecomunicación, Universidad de Vigo – sequence: 2 givenname: N. surname: García-Chan fullname: García-Chan, N. organization: Departamento de Física, C.U.C. Exactas e Ingenierías, Universidad de Guadalajara – sequence: 3 givenname: A. surname: Martínez fullname: Martínez, A. organization: Departamento de Matemática Aplicada II, E.I. Telecomunicación, Universidad de Vigo – sequence: 4 givenname: M.E. surname: Vázquez-Méndez fullname: Vázquez-Méndez, M.E. email: miguelernesto.vazquez@usc.es organization: Departamento de Matemática Aplicada, E.P.S. Universidad de Santiago de Compostela |
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| SubjectTerms | Air pollution Algorithms Banach spaces Effectiveness studies Interactive interactive multi-objective programming Manufacturing engineering Mathematical problems Mathematical programming Metropolitan areas multi-objective control of partial differential equations numerical simulation optimal control Optimization Partial differential equations Pollution control Searching Transport equations |
| Title | An application of interactive multi-criteria optimization to air pollution control |
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