25 papers · ranked by Valyu relevance
Minghai Xu, Li Cao, Dongwan Lu, Zhongyi Hu + 2 more
'Heming Jia'] Image processing technology has always been a hot and difficult topic in the field of artificial intelligence. With the rise and development of machine learning and deep learning methods, swarm intelligence algorithms have become a hot research direction, and combining image processing technology with…
Peng Wang, Yu Zhang, Hongwan Yang
With the deepening of the power market reform on the retail side, it is of great significance to study the economic optimization of the microgrid cluster system. Aiming at the economics of the microgrid cluster, comprehensively considering the degradation cost of energy storage battery, the compensation cost of…
Yong Xu, Bicong Sang, Yi Zhang, Heming Jia
Path planning is an important research direction in the field of robotics; however, with the advancement of modern science and technology, the study of efficient, stable, and safe path-planning technology has become a realistic need in the field of robotics research. This paper introduces an improved sparrow search…
Feng Zheng, Gang Liu, Roberto Teti
In light of the problems of slow convergence speed, insufficient optimization accuracy and easy falling into local optima in the sparrow search algorithm, this paper proposes an adaptive sinusoidal-disturbance-strategy sparrow search algorithm (ASDSSA) and its mathematical equation. Firstly, the initial population…
Xiaofeng Zhang, Fan Xiao, XiLiang Tong, Juntong Yun + 6 more
'Ying Sun' 'Bo Tao' 'Jianyi Kong' 'Manman Xu' 'Baojia Chen'] Complete trajectory planning includes path planning, inverse solution solving and trajectory optimization. In this paper, a highly smooth and time-saving approach to trajectory planning is obtained by improving the kinematic and optimization algorithms for…
Xiaoyu Li, Shaobo Li, Peng Zhou, Guanglin Chen + 9 more
'Yunfei Gao' 'Marcin Sosnowski' 'Karolina Grabowska' 'Dorian Skrobek' 'Ghulam Moeen Uddin' 'Anna Kulakowska' 'Anna Zylka' 'Bachil El Fil'] In this paper, we propose a broad learning system based on the sparrow search algorithm. Firstly, in order to avoid the complicated manual parameter tuning process and obtain the…
Chengtian Ouyang, Donglin Zhu, Fengqi Wang
This paper solves the drawbacks of traditional intelligent optimization algorithms relying on 0 and has good results on CEC 2017 and benchmark functions, which effectively improve the problem of algorithms falling into local optimality. The sparrow search algorithm (SSA) has significant optimization performance, but…
Shaoqiang Yan, Ping Yang, Donglin Zhu, Wanli Zheng + 1 more
This paper solves the shortcomings of sparrow search algorithm in poor utilization to the current individual and lack of effective search, improves its search performance, achieves good results on 23 basic benchmark functions and CEC 2017, and effectively improves the problem that the algorithm falls into local optimal…
Qinwen Yang, Yuelin Gao, Yanjie Song
The "Curse of Dimensionality" induced by the rapid development of information science, might have a negative impact when dealing with big datasets. In this paper, we propose a variant of the sparrow search algorithm (SSA), called Tent Lévy flying sparrow search algorithm (TFSSA), and use it to select the best subset of…
Yuan-Jie Chen, Ting Zhou
ultra-high-pressure water-jet nozzle using approximation method Authors: ['Yuan-Jie Chen' 'Ting Zhou'] Since the geometry structure of ultra-high-pressure (UHP) water-jet nozzle is a critical factor to enhance its hydrodynamic performance, it is critical to obtain a suitable geometry for a UHP water jet nozzle. In this…
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…
Xirui Tang, Feiyang Li, Zinan Cao, Qixuan Yu + 1 more
Experience Prediction Based on Iterative Local Search-Sparrow Search Algorithm Authors: ['Xirui Tang' 'Feiyang Li' 'Zinan Cao' 'Qixuan Yu' 'Yulu Gong'] Abstract—In this paper, an improved method for VR user experience prediction is investigated by introducing a sparrow search algorithm and a random forest algorithm…
Cristian Dumitrescu
The importance of efficiently solving NP – complete problems is due to the fact that this would imply that all the other problems belonging to the NP class can be efficiently solved in a constructive manner (the algorithms can be generated for all of them through polynomial - time reductions).
Lotte Pollaris, Bavo Vanneste, Benjamin Rombaut, Arne Defauw + 15 more
Current spatial transcriptomics technologies are increasingly able to measure large gene panels at subcellular resolution, but a major bottleneck in this rapidly advancing field is the computational analysis and interpretation of the data. To bridge this gap, here we present SPArrOW, a flexible, modular and scalable…
Lei He, Arthur Guijt, Mathijs de Weerdt, Lining Xing + 1 more
'Neil Yorke‐Smith'] The Order Acceptance and Scheduling (OAS) problem describes a class of real-world problems such as in smart manufacturing and satellite scheduling. This problem consists of simultaneously selecting a subset of orders to be processed as well as determining the associated schedule. A common…
Peiyao A Zhao, Jessica Garber, Claire Gustafson, June Kim + 4 more
Spatially resolved transcriptomics technologies have significantly enhanced our ability to understand cellular characteristics within tissue contexts. However, they present a trade-off between spatial resolution and transcriptome coverage. This limitation, compounded with analytical tools treating cell type inference…
Thomas Liphardt, Thomas Sander
We present an efficient algorithm for substructure search in combinatorial libraries defined by synthons, i.e. substructures with connection points. Our method improves on existing approaches by introducing powerful heuristics and fast fingerprint screening to quickly eliminate branches of non matching combinations of…
Authors not listed
Automated chemistry platforms hold the potential to enable large-scale organic synthesis campaigns, such as producing a library of compounds for biological evaluation. The efficiency of such platforms will depend on the schedule according to which the synthesis operations are executed. In this work, we study the…
Tian Jiang, P. Douglas Renfrew, Kevin Drew, Noah Youngs + 3 more
A wide variety of protein and peptidomimetic design tasks require matching functional three-dimensional motifs to potential oligomeric scaffolds. Enzyme design, for example, aims to graft active-site patterns typically consisting of 3 to 15 residues onto new protein surfaces. Identifying suitable proteins capable of…
Ian Knight, Khanh Tang, John Irwin
Molecular docking is a widely used technique for leveraging protein structure in ligand discovery, but as a method, it remains difficult to utilize due to limitations that have not been adequately addressed. Despite some progress towards automation, docking still requires expert guidance, hindering its adoption by a…
Lionel Zoubritzky, François-Xavier Coudert
We present here an open-source Julia library for the topological identification of crystalline materials, with algorithmic and computational improvements over the previously available software in the field, resulting in a speed increase of one order of magnitude. This new algorithm and implementation can therefore be…
Phred M. Benham, Carla Cicero, Merly Escalona, Eric Beraut + 9 more
Transposable elements (TE) play critical roles in shaping genome evolution. However, the highly repetitive sequence content of TEs is a major source of assembly gaps. This makes it difficult to decipher the impact of these elements on the dynamics of genome evolution. The increased capacity of long-read sequencing…
Samuel Genheden, Esben Bjerrum
We introduce a framework for benchmarking multi-step retrosynthesis methods, i.e. route predictions, called PaRoutes. The framework consists of two sets of 10,000 synthetic routes extracted from the patent literature, a list of stock compounds, and a curated set of reactions on which one-step retrosynthesis models can…
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…
Rafael Temirgaliev, Dmitry Pavlov
We study methods of non-linear global optimization in the problem of molecular docking and present a new implementation of protein-ligand docking and preparation of molecules for docking in a new open source software Hess. It uses BFGS for local optimization and two different forms of Monte Carlo method for global…