Zobrazeno 1 - 10
of 148
pro vyhledávání: '"good point set"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 12, Pp 3203-3218 (2024)
In order to solve the problems of the northern goshawk optimization (NGO) algorithm, which quickly falls into local optimal, an improved northern goshawk optimization (INGO) algorithm is proposed in this paper. Firstly, during the population initiali
Externí odkaz:
https://doaj.org/article/1139fabb8fbc4b5390c86d749f0faaae
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-20 (2024)
Abstract Accurate and reliable prediction of porosity forms the foundational basis for evaluating reservoir quality, which is essential for the systematic deployment of oil and gas exploration and development plans. When data quality of samples is lo
Externí odkaz:
https://doaj.org/article/a8951472c9ea400f8f7b82540b97b11c
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
The role of load modeling in power systems is crucial for both operational and regulatory considerations. It is essential to develop an effective and reliable method for optimizing load modeling parameter identification. In this paper, the dung beetl
Externí odkaz:
https://doaj.org/article/f86d858095b045b5b4c6c40015fe154e
Multi-Strategy Fusion Improved Dung Beetle Optimization Algorithm and Engineering Design Application
Publikováno v:
IEEE Access, Vol 12, Pp 97771-97786 (2024)
In this paper, a Multi-Strategy fusion Improved Dung Beetle Optimization (MSIDBO) algorithm is proposed to address the problems that the dung beetle optimization algorithm is prone to fall into local optimum, suffers from weak global exploration, and
Externí odkaz:
https://doaj.org/article/6c2c4e2fafa346d182593fc43a3922a2
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8480 (2024)
In order to solve the problem of the low end positioning accuracy of large hydraulic rock drilling robotic arms due to machining error and the working environment, this paper proposes an end positioning error compensation method based on an Improved
Externí odkaz:
https://doaj.org/article/7ca782d9cd374dee8558bf615b2f6796
Publikováno v:
Machines, Vol 12, Iss 9, p 591 (2024)
A differentiated creative search algorithm with multi-strategy improvement (MSDCS) is proposed for the path planning problem for agricultural UAVs under different complicated situations. First, the good point set and oppositional learning strategies
Externí odkaz:
https://doaj.org/article/60c28ae7b161456fac39323007d9ea5d
Publikováno v:
Biomimetics, Vol 9, Iss 8, p 486 (2024)
Aiming at the problem that the Osprey Optimization Algorithm (OOA) does not have high optimization accuracy and is prone to falling into local optimum, an Improved Osprey Optimization Algorithm Based on a Two-Color Complementary Mechanism for Global
Externí odkaz:
https://doaj.org/article/5ca0e6e627324988835d1a1bfbfcf190
Publikováno v:
Mathematics, Vol 12, Iss 14, p 2153 (2024)
Addressing the issues of the sand cat swarm optimization algorithm (SCSO), such as its weak global search ability and tendency to fall into local optima, this paper proposes an improved strategy called the multi-strategy integrated sand cat swarm opt
Externí odkaz:
https://doaj.org/article/3832e27d0adc4605856a507e6c82a403
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 7, p 1224 (2024)
Autonomous collision avoidance decision making for maritime autonomous surface ships (MASS), as one of the key technologies for MASS autonomous navigation, is a research hotspot focused on by relevant scholars in the field of navigation. In order to
Externí odkaz:
https://doaj.org/article/54d48a3b64374646828a291917ba2cf2
Publikováno v:
Algorithms, Vol 17, Iss 5, p 172 (2024)
To tackle the problem of the brain storm optimization (BSO) algorithm’s suboptimal capability for avoiding local optima, which contributes to its inadequate optimization precision, we developed a flock decision mutation approach that substantially
Externí odkaz:
https://doaj.org/article/7b2741840ab146eea85b2ec855babd28