Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Maowei He"'
Publikováno v:
Journal of Applied Mathematics, Vol 2024 (2024)
The Pareto dominance-based evolutionary algorithms can effectively address multiobjective optimization problems (MOPs). However, when dealing with many-objective optimization problems with more than three objectives (MaOPs), the Pareto dominance rela
Externí odkaz:
https://doaj.org/article/d3f2273670a94ec2a67558f411a65b7f
Publikováno v:
IEEE Access, Vol 10, Pp 60459-60473 (2022)
Today, many-objective optimization problems have attracted widespread attention. There are significant advantages of the grid-based algorithm in solving multi-objective problems. Grid-based algorithm could offer a transformation of objectives and fur
Externí odkaz:
https://doaj.org/article/b1556dd77e7f4509b688c349a2b5c8a3
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2021 (2021)
In the past few decades, metaheuristic algorithms (MA) have been developed tremendously and have been successfully applied in many fields. In recent years, a large number of new MA have been proposed. Slime mould algorithm (SMA) is a novel swarm-base
Externí odkaz:
https://doaj.org/article/1001035eb31d4585a6285c43e62cabb8
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2019 (2019)
Over the last few decades, evolutionary algorithms (EAs) have been widely adopted to solve complex optimization problems. However, EAs are powerless to challenge the constrained optimization problems (COPs) because they do not directly act to reduce
Externí odkaz:
https://doaj.org/article/b99361f6d04744fcba86f84b676f569a
Publikováno v:
Energies, Vol 13, Iss 7, p 1679 (2020)
A novel state estimation algorithm based on the parameters of a self-learning unscented Kalman filter (UKF) with a model parameter identification method based on a collaborative optimization mechanism is proposed in this paper. This algorithm can rea
Externí odkaz:
https://doaj.org/article/aed7cf7395314f4e8bfe25c63fcb74a4
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2017 (2017)
A hybrid coevolution particle swarm optimization algorithm with dynamic multispecies strategy based on K-means clustering and nonrevisit strategy based on Binary Space Partitioning fitness tree (called MCPSO-PSH) is proposed. Previous search history
Externí odkaz:
https://doaj.org/article/963a4527a9b74ca4bfcd7b86b5959778
Publikováno v:
International Journal of Antennas and Propagation, Vol 2015 (2015)
A novel butterfly-shaped patch antenna for wireless communication is introduced in this paper. The antenna is designed for wideband wireless communications and radio-frequency identification (RFID) systems. Two symmetrical quasi-circular arms and two
Externí odkaz:
https://doaj.org/article/66ecb5c925eb4e49bde5f8375a448726
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2014 (2014)
This paper presents a novel optimization algorithm, namely, hierarchical artificial bee colony optimization (HABC), for multilevel threshold image segmentation, which employs a pool of optimal foraging strategies to extend the classical artificial be
Externí odkaz:
https://doaj.org/article/ce9176d3655548d0b6475e3c20d4b18f
Publikováno v:
Journal of Applied Mathematics, Vol 2014 (2014)
This paper presents a novel optimization algorithm, namely, hierarchical artificial bee colony optimization (HABC), to tackle complex high-dimensional problems. In the proposed multilevel model, the higher-level species can be aggregated by the subpo
Externí odkaz:
https://doaj.org/article/08c2c6ee836940c3ab7e92eb8292934a
Publikováno v:
SAE International Journal of Electrified Vehicles, 2020 Jan 01. 9(2), 185-196.
Externí odkaz:
https://www.jstor.org/stable/27041203