Zobrazeno 1 - 10
of 520
pro vyhledávání: '"Yongquan Zhou"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-20 (2024)
Abstract The multi-quay berth allocation problem (MQBAP) is an important problem in the planning of seaside operations (POSO) to find the best berthing solution for all the vessels. In this paper, an efficient method based on equilibrium optimizer (E
Externí odkaz:
https://doaj.org/article/ce50a990f29241b5b3854b67c416267a
Publikováno v:
Alexandria Engineering Journal, Vol 91, Iss , Pp 348-367 (2024)
Honey badger algorithm (HBA) is a recent swarm-based metaheuristic algorithm that excels in simplicity and high exploitation capability. However, it suffers from some limitations including weak exploration capacity and an imbalance between exploratio
Externí odkaz:
https://doaj.org/article/53ac78084c5946bd96b8857da8e05f85
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-38 (2024)
Abstract Addressing the challenge of efficiently solving multi-objective optimization problems (MOP) and attaining satisfactory optimal solutions has always posed a formidable task. In this paper, based on the chicken swarm optimization algorithm, pr
Externí odkaz:
https://doaj.org/article/2e2a72a6b7294d1982d78b4038519059
Publikováno v:
AIMS Energy, Vol 12, Iss 1, Pp 84-118 (2024)
This article proposed adaptive hybrid dwarf mongoose optimization (DMO) with whale optimization algorithm (DMOWOA) to extract solar cell model parameters. In DMOWOA, the whale optimization algorithm (WOA) is used to enhance the capability of DMO in e
Externí odkaz:
https://doaj.org/article/a47125276a784b40a0a5b6ad18943961
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 2856-2878 (2024)
Three-dimensional path planning refers to determining an optimal path in a three-dimensional space with obstacles, so that the path is as close to the target location as possible, while meeting some other constraints, including distance, altitude, th
Externí odkaz:
https://doaj.org/article/7771be0caa934383b5f2c353fd6b3a90
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e26427- (2024)
For the classical multi-objective optimal power flow (MOOPF) problem, only traditional thermal power generators are used in power systems. However, there is an increasing interest in renewable energy sources and the MOOPF problem using wind and solar
Externí odkaz:
https://doaj.org/article/026aea8e88e943b0a1542e4e472c531a
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-26 (2023)
Abstract In this paper, the multi-objective optimal power flow (MOOPF) problem optimization objectives focus on four optimization objectives: generation cost, emission, real power loss and voltage deviation (VD). Three renewable energy sources with s
Externí odkaz:
https://doaj.org/article/e0c3695f8d4b4e19b2e7a3ced5875fd7
Publikováno v:
Biomimetics, Vol 9, Iss 3, p 187 (2024)
Feature selection aims to select crucial features to improve classification accuracy in machine learning and data mining. In this paper, a new binary grasshopper optimization algorithm using time-varying Gaussian transfer functions (BGOA-TVG) is prop
Externí odkaz:
https://doaj.org/article/dc420faef9ca4f4584797da26ec349e0
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 3768-3792 (2023)
Although Extreme Learning Machine (ELM) can learn thousands of times faster than traditional slow gradient algorithms for training neural networks, ELM fitting accuracy is limited. This paper develops Functional Extreme Learning Machine (FELM), which
Externí odkaz:
https://doaj.org/article/8f365f3bcd784425b080ae26340a261f
Publikováno v:
Systems Science & Control Engineering, Vol 10, Iss 1, Pp 662-685 (2022)
Wireless sensor network (WSN) coverage problem is to think about how to maximize the network coverage to obtain reliable monitoring and tracking services with guaranteed quality of service. In this paper, a simplified slime mould algorithm (SSMA) for
Externí odkaz:
https://doaj.org/article/270c2e1d73574ee1931598efbbc15605