Zobrazeno 1 - 10
of 119
pro vyhledávání: '"António Gaspar-Cunha"'
Autor:
António Gaspar-Cunha, Paulo Costa, Alexandre Delbem, Francisco Monaco, Maria José Ferreira, José Covas
Publikováno v:
Polymers, Vol 15, Iss 9, p 2212 (2023)
Polymer single-screw extrusion is a major industrial processing technique used to obtain plastic products. To assure high outputs, tight dimensional tolerances, and excellent product performance, extruder screws may show different design characterist
Externí odkaz:
https://doaj.org/article/cfaacffef5c949dab801d0ae3d918282
Publikováno v:
Mathematical and Computational Applications, Vol 28, Iss 1, p 17 (2023)
Solving real-world multi-objective optimization problems using Multi-Objective Optimization Algorithms becomes difficult when the number of objectives is high since the types of algorithms generally used to solve these problems are based on the conce
Externí odkaz:
https://doaj.org/article/625460647f304362abda372d22205ab3
Machine Learning-Driven Approach for Large Scale Decision Making with the Analytic Hierarchy Process
Autor:
Marcos Antonio Alves, Ivan Reinaldo Meneghini, António Gaspar-Cunha, Frederico Gadelha Guimarães
Publikováno v:
Mathematics, Vol 11, Iss 3, p 627 (2023)
The Analytic Hierarchy Process (AHP) multicriteria method can be cognitively demanding for large-scale decision problems due to the requirement for the decision maker to make pairwise evaluations of all alternatives. To address this issue, this paper
Externí odkaz:
https://doaj.org/article/028ccd0259a44a0f9753e391d0412a5b
Publikováno v:
Materials, Vol 15, Iss 3, p 1138 (2022)
The application of optimization techniques to improve the performance of polymer processing technologies is of great practical consequence, since it may result in significant savings of materials and energy resources, assist recycling schemes and gen
Externí odkaz:
https://doaj.org/article/5d1a093091da42abb09327390060811c
Publikováno v:
Materials, Vol 15, Iss 1, p 384 (2022)
Given the global economic and societal importance of the polymer industry, the continuous search for improvements in the various processing techniques is of practical primordial importance. This review evaluates the application of optimization method
Externí odkaz:
https://doaj.org/article/af4a6d04ef5c472d893f0adeeb1602aa
Autor:
António Gaspar-Cunha, Paulo Costa, Wagner de Campos Galuppo, João Miguel Nóbrega, Fernando Duarte, Lino Costa
Publikováno v:
Mathematics, Vol 9, Iss 15, p 1760 (2021)
The practical application of a multi-objective optimization strategy based on evolutionary algorithms was proposed to optimize the plastics thermoforming process. For that purpose, in this work, differently from the other works proposed in the litera
Externí odkaz:
https://doaj.org/article/9f5b16ce9242406a959ddb763b91cfb6
Publikováno v:
Química Nova, Vol 35, Iss 4, Pp 719-722 (2012)
The objective this work was to obtain bioplastics from mixtures of wheat gluten and glycerol by two different processes and evaluate their respective rheological properties. The mixtures and their respective bioplastics were obtained through direct b
Externí odkaz:
https://doaj.org/article/1973ac0ae9374649b4a213d00d1e8563
Publikováno v:
Applied Sciences, Vol 7, Iss 10, p 1079 (2017)
Portfolio management based on mean-variance portfolio optimization is subject to different sources of uncertainty. In addition to those related to the quality of parameter estimates used in the optimization process, investors face a portfolio impleme
Externí odkaz:
https://doaj.org/article/fe008e9f1c4349268054485d70a13524
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031272493
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccdfa62346c15544c5938ded872162db
https://doi.org/10.1007/978-3-031-27250-9_7
https://doi.org/10.1007/978-3-031-27250-9_7
Autor:
Francisco José Monaco, Roman Denysiuk, Alexandre Claudio Botazzo Delbem, António Gaspar-Cunha
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
This paper introduces a multiobjective optimization (MOP) method for nonlinear regression analysis which is capable of simultaneously minimizing the model order and estimating parameter values without the need of exogenous regularization constraints.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a8aef5d3c72c1d89ba87b1862a08400