20 papers · ranked by Valyu relevance
Qingqing Tian, Hongyu Yang, Yu Tian, Lei Guo + 1 more
Highlights What are the main findings? 1. The proposed tSSA-Informer model achieves 90.85% diagnostic accuracy under strong noise (SNR = −9 dB) and 61.32% accuracy with only 10% labeled samples, outperforming SSA-Informer, GA-Informer, and other comparative models. 2. The tSSA algorithm optimizes Informer…
Jiang Li, Liliang Dong, Le Xu, Fangqiong Luo + 4 more
Fire monitoring in underground spaces is critical for emergency response, yet traditional localization methods like DV-Hop suffer from significant localization errors due to hop count ambiguity and premature convergence in optimization. To address these issues, we propose an Enhanced Sparrow Search Algorithm with…
Ying Qian, Bing Liu, Beibei Su, Chunyan Zhang + 1 more
The relentless scaling of integrated circuits (ICs) into the nanoscale regime has intensified critical reliability challenges, such as Negative Bias Temperature Instability (NBTI), which manifests primarily as a progressive shift in the transistor threshold voltage (Δ V t h). This study focuses on the prognostics of…
Peiwen Zhang, Yunan Luo, Qian Yu, Zhifeng Zhou + 1 more
To address the challenges of increasing carbon dioxide (CO2) emissions and climate change caused by the growth of air traffic, accurate prediction of CO2 emissions in civil aviation has become crucial. This study proposes a CO2 emission prediction method based on an improved back propagation (BP) neural network, where…
Hongzhi Su, Pengtao Mu, Shenglin Xu, Lingrao Wang + 2 more
With the widespread application of renewable energy in microgrids, collaborative optimization scheduling of microgrid clusters has become a key issue in improving energy utilization efficiency and operational economy. To solve this problem, this paper proposes a microgrid cluster optimization scheduling method based on…
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…
Junhao Wei, Wenxuan Zhu, Qingyang Xu, Yanxiao Li + 10 more
Metaheuristic algorithms have been widely applied to complex optimization problems due to their independence from gradient information, strong global search capability, and robust performance. The Sparrow Search Algorithm (SSA), characterized by its simple structure and ease of implementation, nevertheless suffers from…
Hong Kheam, Vakhim Leang, Chamroeun Khim, Van Nhan Vo + 4 more
Optimal node deployment in Wireless Sensor Networks (WSNs) is crucial for maximizing monitoring coverage. However, traditional metaheuristics like the Sparrow Search Algorithm (SSA) often suffer from premature convergence and redundant clustering, creating severe coverage holes. To address this, we introduce the…
Mingxuan Du, Tingzhang Luo, Ziyang Wang, Chengjun Li
In the field of artificial intelligence, real parameter singl e objective optimization is an important direction. Both the Differential Evolution (DE) and the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) demonstrate good performance for real parameter single objective optimization. Nevertheless, there exist…
Edouard R. Dufour, Pascal Fua
Black-box optimization is a fundamental science and engineering tool that makes it possible to optimize objectives without gradient information. Unfortunately, as it often requires many function evaluations, it can be challenging when each one is costly. This is especially true when the evaluation function is noisy or…
Tan Zhang, Chengjun Ding, Tengfei Ma, Zijian Li + 6 more
To enhance the tracking accuracy of AGVs, this paper proposes an online adaptive optimization strategy for MPC weight parameters based on the Improved Sparrow Search Algorithm (ISSA). Firstly, the kinematic and three-degree-of-freedom dynamic models of the AGV are established, and a trajectory tracking MPC controller…
Ben Kenward, Nick Casey, Perline Bastid, Francis Buner + 3 more
1. Environmental Decision Support systems provide model-based predictions, tailored to user-inputted information about local ecosystems, which can support management decisions by citizens. Citizen Science systems accept user input to improve models. Thus, each system type emphasises automatic data transfer in one…
Dong, Bob
It is a well know result by Bentley and Yao that given a simple path P = (V, E), exponential search from starting vertex s to target vertex t has worst-case query complexity O(log dist(s,t)) [1]. This paper aims to generalize this result to a tree T = (V, E). We show that if T has certain constrained structure (not too…
Michael Dinitz, Bob Dong
``Algorithms with predictions'', or ``learning-augmented algorithms'', has proved to be an extremely useful paradigm for combining machine learning with traditional algorithms. One of the textbook settings for this is searching a sorted array. Without a prediction, classical binary search takes $O(\log n)$ queries…
Changin Oh, Kathleen P. Wilkie
We present the Toroidal Search Algorithm (TSA), a novel population-based metaheuristic optimization method inspired by the topology of a torus. Conventional metaheuristics frequently suffer from boundary stagnation, a phenomenon that severely degrades performance in bounded and high-dimensional search spaces. TSA…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Authors not listed
Finding the most stable adsorption geometry of a flexible molecule on a catalytic surface remains a key challenge due to the high dimensionality and ruggedness of the potential energy surface. We present a Gradient-Enhanced Genetic Algorithm (GE-GA) for the global optimization of adsorbate–surface configurations…
Sumesh Kumar, Joseph Zambreno, Ashfaq Khokhar, Shoaib Akram + 1 more
Improving the speed and efficiency of database search algorithms that deduce peptides from mass spectrometry (MS) data has been an active area of research for more than three decades. The significance of the need for faster database search methods has rapidly increased due to the growing interest in studying non-model…
Authors not listed
Exploring the potential energy surface to sample transition state regions is crucial to understand the atomic processes that govern chemical reactivity. Ideally, the exploration does not require any collective variables that are based on prior chemical domain knowledge. With this in mind, we adapt the stochastic saddle…
Adrián Sánchez Albert, Gabriel Munar Delgado, Francisco Pulido
There is extensive debate on supplemental bird feeding given the mixed evidence about its effects on avian taxa. In this study, we quantified feeder use in the Eurasian Tree Sparrow (Passer montanus) from a population in Central Spain using radio frequency identification (RFID) with the aim of unravelling its…