Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Oriane M. Neto"'
Publikováno v:
International Journal of Electrical Power & Energy Systems. 63:645-656
In this paper, an evolutionary multiobjective algorithm (NSGA-II) and some local search methods are employed to solve the power distribution network design problem. The design procedure takes into account three relevant aspects: monetary cost, fault
Autor:
Frederico Gadelha Guimarães, Ricardo S. Prado, Rodrigo Silva, Joao B. A. London, Danilo Sipoli Sanches, Oriane M. Neto, Alexandre C. B. Delbem
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
Problems in power distribution system reconfiguration (PDSR), such as service restoration, power loss reduction, and expansion planning, are usually formulated as complex multi-objective and multi-constrained optimization problems. Several evolutiona
Publikováno v:
Applied Soft Computing. 13:4403-4412
This paper presents a Genetic Algorithm for the optimization of multiple indices of Quality of Service of Multi Protocol Label Switching (MPLS) IP networks. The proposed algorithm, the Variable Neighborhood Multiobjective Genetic Algorithm (VN-MGA),
Publikováno v:
Anais do 10. Congresso Brasileiro de Inteligência Computacional.
Publikováno v:
Anais do 10. Congresso Brasileiro de Inteligência Computacional.
Evolução Diferencial Discreta Aplicada A Reconfiguração De Redes De Distribuição De Energia Elétrica
Autor:
Oriane M. Neto, Cidiney J. Silva
Publikováno v:
Anais do 10. Congresso Brasileiro de Inteligência Computacional.
Publikováno v:
IEEE Transactions on Magnetics. 47:1242-1245
This paper presents a methodology based on multiobjective evolutionary optimization and a phase control scheme to design a microwave heating applicator for water sterilization. The optimization problem is formulated in terms of two objective function
Publikováno v:
Electric Power Systems Research. 81:527-537
A recent paper, [1] , has proposed a methodology for taking into account uncertainties in the load evolution within the design of electric distribution networks. That paper has presented an immunological algorithm that is used for finding a set of so
Publikováno v:
International Journal of Natural Computing Research. 1:15-32
The Differential Evolution (DE) algorithm is an important and powerful evolutionary optimizer in the context of continuous numerical optimization. Recently, some authors have proposed adaptations of its differential mutation mechanism to deal with co
Publikováno v:
International Journal of Natural Computing Research. 1:92-112
The growing importance of electric distribution systems justifies new investments in their expansion and evolution. It is well known in the literature that optimization techniques can provide better allocation of the financial resources available for