Building Mathematical Models for Multicriteria and Multiobjective Applications 2020

Another paper brings a novel procedure to pursue aspired procurement negotiation (PN) outcomes using the combined multiple attribute decision-making (MADM) model. Another paper presents a combination of the Kriging model, optimal Latin hypercube sampling, and particle swarm optimization, an algorith...

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Veröffentlicht in:	Mathematical problems in engineering 2021, Vol.2021, p.1-2
Hauptverfasser:	de Almeida, Adiel Teixeira, Ekenberg, Love, Leyva-Lopez, Juan Carlos, Morais, Danielle Costa, Wachowicz, Tomasz
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer and Systems Sciences data- och systemvetenskap Decision making Hypercubes Latin hypercube sampling Mathematical models Mathematical problems Multiple criterion Multiple objective analysis Optimization Particle swarm optimization Roads & highways Traffic congestion
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Zusammenfassung:	Another paper brings a novel procedure to pursue aspired procurement negotiation (PN) outcomes using the combined multiple attribute decision-making (MADM) model. Another paper presents a combination of the Kriging model, optimal Latin hypercube sampling, and particle swarm optimization, an algorithm, EIR2-MOEA, for solving expensive multiobjective optimization problems. [...]the last paper presents a design-task-oriented model assignment framework that involves model value selection, multiobjective model establishment, and multiobjective optimization algorithm.
ISSN:	1024-123X 1563-5147 1563-5147
DOI:	10.1155/2021/9795329