multiobjective programming
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2021 ◽  
pp. 101208
Author(s):  
Claudia Prieto-Latorre ◽  
Luis Alejandro Lopez-Agudo ◽  
Mariano Luque ◽  
Oscar David Marcenaro-Gutierrez




2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhuoran Fan ◽  
Jilong Xu ◽  
Yuchen Li

In this paper, we select eight indicators from the aspects of an enterprise’s bill transaction information, namely, whether the enterprise’s loan is in breach of contract, effective invoice rate, total utilization rate of price and tax, negative invoice rate, strength of enterprise, coefficient of variation, flow efficiency of assets, and influence of upstream and downstream enterprises; then, we construct an evaluation index system. According to different industries, different categories, and the impact of random factors, we divide the types of enterprises into 10 categories. Then, we use three kinds of Poisson random numbers to carry out numerical simulation on the total price and tax of enterprises in different industries under the influence of COVID-19.



4OR ◽  
2021 ◽  
Author(s):  
Tadeusz Antczak

AbstractIn this paper, the class of differentiable semi-infinite multiobjective programming problems with vanishing constraints is considered. Both Karush–Kuhn–Tucker necessary optimality conditions and, under appropriate invexity hypotheses, sufficient optimality conditions are proved for such nonconvex smooth vector optimization problems. Further, vector duals in the sense of Mond–Weir are defined for the considered differentiable semi-infinite multiobjective programming problems with vanishing constraints and several duality results are established also under invexity hypotheses.



Mathematics ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 992
Author(s):  
Beatriz Hernández-Jiménez ◽  
Gabriel Ruiz-Garzón ◽  
Antonio Beato-Moreno ◽  
Rafaela Osuna-Gómez

In this paper, we deal with the resolution of a fuzzy multiobjective programming problem using the level sets optimization. We compare it to other optimization strategies studied until now and we propose an algorithm to identify possible Pareto efficient optimal solutions.



Author(s):  
Beatriz Hernández-Jiménez ◽  
Gabriel Ruiz-Garzón ◽  
Antonio Beato-Moreno ◽  
Rafaela Osuna-Gómez

In this paper we deal with the resolution of a fuzzy multiobjective programming problem using the level sets optimization. We compare it to other optimization strategies studied until now and we propose an algorithm to identify possible Pareto efficient optimal solutions.



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