Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Rachid Ellaia"'
Publikováno v:
IEEE Access, Vol 10, Pp 78345-78369 (2022)
Manta ray foraging optimization (MRFO) algorithm is relatively a novel bio-inspired optimization technique directed to given real-world engineering problems. In this present work, wind turbines layout (WTs) inside a wind farm is considered a real non
Externí odkaz:
https://doaj.org/article/dc6b8d77f793404cac80fccf66ad75b4
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
This study presents an improved chaotic flower pollination algorithm (CFPA) with a view to handle the optimal power flow (OPF) problem integrating a hybrid wind and solar power and generate the optimal settings of generator power, bus voltages, shunt
Externí odkaz:
https://doaj.org/article/00336c87487c4334904f7189ef18673b
Publikováno v:
Fractal and Fractional, Vol 6, Iss 4, p 194 (2022)
This present study describes a novel manta ray foraging optimization approach based non-dominated sorting strategy, namely (NSMRFO), for solving the multi-objective optimization problems (MOPs). The proposed powerful optimizer can efficiently achieve
Externí odkaz:
https://doaj.org/article/625d4ceb174941be96ab479817cbfdde
Publikováno v:
Investment Management & Financial Innovations, Vol 15, Iss 4, Pp 123-134 (2018)
The stock market represents complex systems where multiple agents interact. The complexity of the environment in the financial markets in general has encouraged the use of modeling by multi-agent platforms and particularly in the case of the stock ma
Externí odkaz:
https://doaj.org/article/9308f5bccc804ae9a562bec28bcd56d8
Autor:
Yassine Belasri, Rachid Ellaia
Publikováno v:
International Journal of Economics and Financial Issues, Vol 7, Iss 2, Pp 384-396 (2017)
Volatility and correlation are important metrics of risk evaluation for financial markets worldwide. The latter have shown that these tools are varying over time, thus, they require an appropriate estimation models to adequately capture their dynamic
Externí odkaz:
https://doaj.org/article/d885bb076608491fa093a96ed2463be6
Publikováno v:
Algorithms, Vol 13, Iss 9, p 204 (2020)
Multi-objective optimization problems (MOPs) have been widely studied during the last decades. In this paper, we present a new approach based on Chaotic search to solve MOPs. Various Tchebychev scalarization strategies have been investigated. Moreove
Externí odkaz:
https://doaj.org/article/95abd90dd8a64250a015f87281b40df2
Publikováno v:
Latin American Journal of Solids and Structures, Vol 13, Iss 6, Pp 1203-1227
Abstract This work deals with the design of a suspension device, idealized as a spring-mass-damper system. The amplitude of a nominal system is constrained to satisfy certain limitations in a given frequency band and the design is to be done as a rel
Externí odkaz:
https://doaj.org/article/aef33164ed3a4b3482823e9897864a24
Publikováno v:
Engineering Analysis with Boundary Elements. 134:612-624
Radial basis function (RBF) has been accurately used for the spatial discretization to solve PDE problems. In this paper, a practical stabilization of the local formulation of the radial basis function (RBF) method is presented to solve the incompres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9adde43fc0feb6de55c5c78878cc860
https://doi.org/10.1016/j.enganabound.2021.09.033
https://doi.org/10.1016/j.enganabound.2021.09.033
Publikováno v:
Search Algorithm-Essence of Optimization
Search Algorithm-Essence of Optimization ISBN: 9781839690860
Search Algorithm-Essence of Optimization ISBN: 9781839690860
We propose a novel hybrid multiobjective (MO) immune algorithm for tackling continuous MO problems. Similarly to the nondominated neighbor immune algorithm (NNIA), it considers the characteristics of OM problems: based on the fitness values, the best
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a2e74fd393b025f9e09deefd94267e4
https://mts.intechopen.com/articles/show/title/an-immune-multiobjective-optimization-with-backtracking-search-algorithm-inspired-recombination
https://mts.intechopen.com/articles/show/title/an-immune-multiobjective-optimization-with-backtracking-search-algorithm-inspired-recombination
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031340192
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a476ca329de9d96202847a32a1c49b48
https://doi.org/10.1007/978-3-031-34020-8_7
https://doi.org/10.1007/978-3-031-34020-8_7