Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Juliano Pierezan"'
Autor:
Achilles D. Boursianis, Maria S. Papadopoulou, Juliano Pierezan, Viviana C. Mariani, Leandro S. Coelho, Panagiotis Sarigiannidis, Stavros Koulouridis, Sotirios K. Goudos
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 2, Pp 151-162 (2021)
Radio frequency energy harvesting has attracted considerable interest as a technique of enabling self-powered wireless networks. This technique faces several challenges, such as the receiving and the rectifying modules of a rectenna system. Multiband
Externí odkaz:
https://doaj.org/article/c4be61b71fac455db0c08f4e31dca777
Autor:
Juliano Pierezan, Leandro dos S. Coelho, Viviana C. Mariani, Sotirios K. Goudos, Achilles D. Boursianis, Nikolaos V. Kantartzis, Christos. S. Antonopoulos, Spiridon Nikolaidis
Publikováno v:
Technologies, Vol 9, Iss 2, p 35 (2021)
Nature-inspired metaheuristics of the swarm intelligence field are a powerful approach to solve electromagnetic optimization problems. Ant lion optimizer (ALO) is a nature-inspired stochastic metaheuristic that mimics the hunting behavior of ant lion
Externí odkaz:
https://doaj.org/article/c95d49b6211f4760b4578de923662927
Autor:
Cintia de Carvalho Toledo, Juliano Pierezan, Gabriel Maidl, Leandro do Santos Coelho, João Borba, Renato Penteado, Victor Lopes Santos, Eduardo Massashi Yamao
Publikováno v:
Brazilian Journal of Development. 7:90362-90381
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 13:2807-2827
Coyote Optimization Algorithm (COA) is classified as both swarm intelligence and evolutionary heuristic algorithms. However, getting trapped in a poor local optimum and the low convergence speed are the weaknesses of COA obviously. Due to these weakn
Autor:
Viviana Cocco Mariani, Sotirios K. Goudos, Leandro dos Santos Coelho, Christos S. Antonopoulos, Spiridon Nikolaidis, Juliano Pierezan, Nikolaos V. Kantartzis, Achilles D. Boursianis
Publikováno v:
Technologies, Vol 9, Iss 35, p 35 (2021)
Nature-inspired metaheuristics of the swarm intelligence field are a powerful approach to solve electromagnetic optimization problems. Ant lion optimizer (ALO) is a nature-inspired stochastic metaheuristic that mimics the hunting behavior of ant lion
Autor:
Roberto Zanetti Freire, Gilberto Reynoso-Meza, Lucas Weihmann, Juliano Pierezan, Leandro dos Santos Coelho
Publikováno v:
Computers & Operations Research. 84:205-215
The current society requires solutions for many problems in safety, economy, and health. The social concerns on the high rate of repetitive strain injury, work-related osteomuscular disturbances, and domestic issues involving the elderly and handicap
Publikováno v:
2019 22nd International Conference on the Computation of Electromagnetic Fields (COMPUMAG).
The Coyote Optimization Algorithm (COA) is a population-based nature-inspired metaheuristic for global optimization that considers the social relations of the coyote proposed originally to single-objective optimization. In this paper, the numerical r
Autor:
Allan Christian Krainski Ferrari, Luiz Felipe Manke, Leandro dos Santos Coelho, Gideon Villar Leandro, Juliano Pierezan
Publikováno v:
Anais do 14º Simpósio Brasileiro de Automação Inteligente.
Autor:
Juliano Pierezan, Sinvaldo Rodrigues Moreno, Viviana Cocco Mariani, Leandro dos Santos Coelho
Publikováno v:
Energy. 216:119214
The wind farm layout design is an expansive and complex task involving a wide knowledge. Usually, attention is given on high energy efficiency, considering as active constraints the energy loss due to wake effect. Nevertheless, future advancements ha
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