Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Emerson Hochsteiner de Vasconcelos Segundo"'
Autor:
Paulo Paneque Galuzio, Emerson Hochsteiner de Vasconcelos Segundo, Leandro dos Santos Coelho, Viviana Cocco Mariani
Publikováno v:
SoftwareX, Vol 12, Iss , Pp 100520- (2020)
This work presents a new software, programmed as a Python class, that implements a multi-objective Bayesian optimization algorithm. The proposed method is able to calculate the Pareto front approximation of optimization problems with fewer objective
Externí odkaz:
https://doaj.org/article/88d01f3850ea4f07afcfd79da41a97d2
Publikováno v:
Applied Thermal Engineering. 156:119-144
This paper proposes a novel metaheuristic optimizer based on the hunt behavior of falcons called Falcon Optimization Algorithm (FOA). FOA is a robust and powerful stochastic population-based algorithm that needs the adjustment of few parameters for i
Autor:
Viviana Cocco Mariani, Emerson Hochsteiner de Vasconcelos Segundo, Leandro dos Santos Coelho, Anderson Levati Amoroso
Publikováno v:
Applied Thermal Engineering. 111:143-151
This paper presents an optimization of shell-and-tube heat exchangers (STHEs) considering as objective function the minimization of the total annual cost by Differential Evolution (DE) and a novel Differential Evolution variant, denominated Tsallis D
Autor:
Emerson Hochsteiner de Vasconcelos Segundo, Leandro dos Santos Coelho, Paulo Paneque Galuzio, Roberto Zanetti Freire, Viviana Mariani
Publikováno v:
Proceedings of the 25th International Congress of Mechanical Engineering.
Autor:
Emerson Hochsteiner de Vasconcelos Segundo, Juliano Pierezan, Viviana Cocco Mariani, Leandro dos Santos Coelho, Doddy Prayogo
Publikováno v:
Computers & Structures. 242:106353
The optimization of truss structures is a complex computing problem with many local minima, while metaheuristics are naturally suited to deal with multimodal problems without the need of gradient information. The Coyote Optimization Algorithm (COA) i
Publikováno v:
Engenharia Sanitaria e Ambiental, Volume: 21, Issue: 3, Pages: 479-487, Published: 11 AUG 2016
Engenharia Sanitaria e Ambiental v.21 n.3 2016
Engenharia Sanitaria e Ambiental
Associação Brasileira de Engenharia Sanitária e Ambiental (ABES)
instacron:ABES
Engenharia Sanitaria e Ambiental, Vol 21, Iss 3, Pp 479-487
Engenharia Sanitaria e Ambiental v.21 n.3 2016
Engenharia Sanitaria e Ambiental
Associação Brasileira de Engenharia Sanitária e Ambiental (ABES)
instacron:ABES
Engenharia Sanitaria e Ambiental, Vol 21, Iss 3, Pp 479-487
RESUMO: Um modelo condutométrico foi desenvolvido como uma técnica menos dispendiosa para determinar a concentração de dióxido de carbono dissolvido em reservatórios e foi aplicado no Reservatório Vossoroca, Brasil. A parte principal do Reserv
Autor:
Viviana Cocco Mariani, Emerson Hochsteiner de Vasconcelos Segundo, Leandro dos Santos Coelho, Helon Vicente Hultmann Ayala
Publikováno v:
IEEE Transactions on Magnetics. 52:1-4
Metaheuristics have recently become the forefront of the current research as a powerful way to deal with many electromagnetic optimization problems. Based on the simulation of the herding behavior of krill individuals, a krill herd (KH) algorithm was
Autor:
Carlos Eduardo Klein, Emerson Hochsteiner de Vasconcelos Segundo, Viviana Cocco Mariani, Leandro dos Santos Coelho
Publikováno v:
IEEE Transactions on Magnetics. 52:1-4
Social-spider optimization (SSO) is a new nature-inspired algorithm of the swarm intelligence field to global optimization applications, which is based on the simulation of cooperative behavior of social spiders. To enhance the performance of the sta
Autor:
Leandro dos Santos Coelho, Emerson Hochsteiner de Vasconcelos Segundo, Paulo Paneque Galuzio, Viviana Cocco Mariani
Publikováno v:
SoftwareX, Vol 12, Iss, Pp 100520-(2020)
This work presents a new software, programmed as a Python class, that implements a multi-objective Bayesian optimization algorithm. The proposed method is able to calculate the Pareto front approximation of optimization problems with fewer objective
Publikováno v:
Thermal Science and Engineering Progress. 14:100431
The main goal of this paper is to propose a novel simple metaheuristic optimizer relate to the swarm intelligence field based on the decoy behavior of owls that has just five main steps and simple control parameters to tune, called Owl Optimization A