17 papers · ranked by Valyu relevance
Yuanyuan Zhang, Long Zhao, Tao Zhang, Wencheng Li + 1 more
Intelligent risk assessment in complex systems increasingly relies on methods like trapezoidal fuzzy fault trees. However, conventional techniques often struggle with accurately calculating top-event probabilities and handling model uncertainty, which undermines the reliability of risk evaluations. To address this, we…
Heran Kang, Hongyang Liu, Lijun Zhao, Jie Sun + 4 more
To address the issue of low voltage fluctuations at the grid end caused by the high penetration of wind and solar loads in the power grid, a fast low-voltage regulation algorithm is proposed. This algorithm aims to resolve the stability challenges brought by the uncertainty of wind and solar power sources. The method…
Ruya Fan, Yan Chen, Bo Shan, Erfan Babaee Tirkolaee
Aiming at the problem of matching scarce resources among donors, recipients, and medical institutions in organ transplantation, a stable three-sided matching method is proposed. Firstly, in view of the preference structure characteristics of the problems in the context of organ transplantation, a mixed preference…
Jiawei Zhang, Jiguang Yang, Shannong Zheng, Jiuyuan Huo + 2 more
Wireless sensor networks (WSNs) are recognized as a promising enabling technology for health monitoring of elongated infrastructures such as bridges, tunnels and railways. However, the significant distribution span of WSN nodes within narrow spaces requires monitoring data to be transmitted to the base station via…
Liang Tao, Lingzhi Li, Fan Lu, Yongquan Zhou
Color multi-threshold image segmentation is a non-convex, gradient-free global optimization problem. The number of decision variables increases with the number of thresholds, leading to a rapid expansion of the search space and increased computational complexity. To address this problem, this paper proposes a…
Ekaterina Antonova Gospodinova, Lamberto Rondoni, Ludovico Minati
This paper explores the dynamic analogy between the discrete Lorenzian attractor and a modified Kropotov-Pakhomov neural network (MRNN). A one-dimensional peak map is used to extract the successive maxima of the Lorenzian system and preserve the basic properties of the chaotic flow. The MRNN, governed by the…
Honglei Pang, He Huang, Yangping Fan, Lei Yao + 2 more
Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. To address the issue of maintaining vehicle stability during emergency braking on roads with low and non-uniform adhesion, this paper proposes an intelligent integrated…
Xiaolei Shi, Rajesh Kumar
This paper proposes a novel nonlinear autoregressive with exogenous input-based adaptive recursive least squares model-free predictive control (NARX-ARLS-MFPC) strategy for permanent magnet synchronous motor (PMSM) drives. The core challenge addressed is the performance degradation of conventional model predictive…
Min Tian, Xiaomei Li, Yangming Zhou
The critical chain method is often used to improve robustness in single-project scheduling, but there are two challenges when applying it to multi-project scheduling. First, the existing robustness measure focuses on time elasticity within sub-projects but neglects elasticity across sub-projects, making it difficult to…
Yu Liu, Maosheng Fu, Chaochuan Jia, Zhengyu Liu + 5 more
Unmanned aerial vehicle path planning faces multiple challenges in terms of effectiveness and safety. Traditional optimization methods are difficult to use to effectively find the best route. An enhanced artificial lemming optimization algorithm (ALAEN) is proposed here, which introduces stochastic differential…
Hossam Kotb, George Michael, Kareem M. AboRas
The paper develops a comprehensive model for optimal allocation and sizing of DG units using the Dingo Optimization Algorithm (DOA) targeting active power loss reduction with a concomitant improvement in voltage stability across both distribution (DN) and transmission networks (TN). The novel methodology evaluates the…
MingXuan Jian, GuoZhen Wu, BangLing Xiao
Metaheuristic optimization algorithms are widely used to tackle complex, high-dimensional, and nonlinear problems by mimicking natural or social behaviors, showing great potential for future development. Among them, the Parrot Optimization (PO) algorithm, inspired by the green-cheeked conure, exhibits strong…
Mingbin Tang, Yejun Zheng, Lianbao Li, Li Cao + 2 more
Complex engineering optimization problems often exhibit high-dimensional, multi-constraint, and nonlinear characteristics. Traditional deterministic optimization methods rely on gradient information and have limited optimization ranges, making it difficult to meet the requirements of efficient and accurate solutions.…
Md. Antajul Islam, Nasrin Nahar Rimu, Pinakee Dey
This paper examines the space-time fractional modified Korteweg-de Vries Burgers (mKdV-Burgers) equation to address nonlinear wave dynamics of the equation through the improved F-expansion representation with the Riccati equation. The given strategy offers a methodical system of obtaining a wide category of precise…
Nazar Ismailov, Nikolay Tschur, Georgii Kazantsev, Sergey Lobov + 1 more
A nonlinear mathematical model describing the vertical motion of a biomimetic underwater vehicle equipped with a swim bladder is developed. For a passive bladder that changes its volume under hydrostatic pressure, the system can achieve depth stabilization through a speed-induced mechanism when the lever-arm geometry…
Han Yang, Xingwang Huang, Heming Jia
The rapid development of intelligent systems has introduced increasingly sophisticated optimization problems across diverse domains. While contemporary metaheuristic algorithms, including the recent Artificial Lemming Algorithm (ALA), have shown considerable promise, they frequently encounter difficulties such as…
Serdar Ekinci, Davut Izci, Mostafa Jabari, Mohit Bajaj + 2 more
Achieving precise and stable engine speed regulation in spark-ignition (SI) systems remains a challenging task because of the inherent nonlinearities, time-varying characteristics, and external disturbances of internal combustion engines (ICEs). Conventional proportional-integral-derivative (PID) controllers often fail…