A5005983977- Metaheuristic Optimization Algorithms Research
- BIM and Construction Integration
- Advanced Multi-Objective Optimization Algorithms
- Advanced Algorithms and Applications
- Robotic Path Planning Algorithms
- Genomics and Phylogenetic Studies
- Evolutionary Algorithms and Applications
- Urban Design and Spatial Analysis
- Resource-Constrained Project Scheduling
- Land Use and Ecosystem Services
- Advanced Image and Video Retrieval Techniques
- Distributed Control Multi-Agent Systems
- Advanced Sensor and Control Systems
- Medical Image Segmentation Techniques
- Complex Network Analysis Techniques
- Advanced Manufacturing and Logistics Optimization
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Scheduling and Optimization Algorithms
- Machine Learning in Bioinformatics
- Neural Networks and Applications
- Robotics and Sensor-Based Localization
- Modular Robots and Swarm Intelligence
- Remote Sensing and Land Use
- Transportation Planning and Optimization
Northeast Petroleum University
2025
Daqing Oilfield General Hospital
2025
Agricultural Genomics Institute at Shenzhen
2022-2024
Changchun Institute of Technology
2008-2024
East China Normal University
2017-2024
Zhejiang Sci-Tech University
2024
Chinese Academy of Agricultural Sciences
2022-2024
Ministry of Agriculture and Rural Affairs
2022-2024
AgResearch
2024
Lanzhou University
2023
In this article, a dynamic-neighborhood-based switching PSO (DNSPSO) algorithm is proposed, where new velocity updating mechanism designed to adjust the personal best position and global according distance-based dynamic neighborhood make full use of population evolution information among entire swarm. addition, novel learning strategy introduced adaptively select acceleration coefficients update model searching state at each iteration, thereby contributing thorough search problem space....
Pan-genomes from large natural populations can capture genetic diversity and reveal genomic complexity. Using de novo long-read assembly, we generated a graph-based super pan-genome of rice consisting 251-accession panel comprising both cultivated wild species Asian African rice. Our reveals extensive structural variations (SVs) gene presence/absence variations. Additionally, our enables the accurate identification nucleotide-binding leucine-rich repeat genes characterization their inter-...
Abstract Phylogenetic analysis has entered the genomics (multilocus) era. For less experienced researchers, conquering large number of software programs required for a multilocus‐based phylogenetic reconstruction can be somewhat daunting and time‐consuming. PhyloSuite, with user‐friendly GUI, was designed to make this process more accessible by integrating multiple needed multilocus single‐gene phylogenies further streamlining whole process. In protocol, we aim explain how conduct each step...
Layout of temporary facilities on a construction site is essential to enhancing productivity and safety, complex issue due the unique nature construction. This paper proposes particle swarm optimization (PSO)-based methodology solve unequal-area facility layout problem. A priority-based representation candidate solutions problem proposed. The particle-represented solution in terms priorities should be transformed specific plan with consideration nonoverlap geometric constraints. In addition,...
Multiple-robot systems (MRS) that are decentrally organized have many benefits over centralized systems. Decentralized less affected by computational and communicative bottlenecks, they more robust to the loss of individual member robots. System-level cognitive operations, though, much difficult implement in decentralized One example is best-of-N decision-making problem, which a team attempts unanimously select single alternative from list maximizes given metric. This valuable operation,...
Purpose This paper aims to present a novel particle swarm optimization (PSO) based on non-homogeneous Markov chain and differential evolution (DE) for path planning of intelligent robot when having obstacles in the environment. Design/methodology/approach The three-dimensional surface is decomposed into two-dimensional plane height information z axis. Then, grid method exploited environment modeling problem. After that, recently proposed switching local evolutionary PSO (SLEPSO) DE analyzed...
More extensive attention has been paid to the heterogeneity of maritime transport network in topological rather than spatial aspects. However, importance links and roles neighbors a node ignored if not all. To fill this gap, article introduced approach weighted ego analysis (WENA) visualize at global local levels. The connectivity graph marine was derived, its structural properties were analyzed. It is found out that values degree ports follow power-law distribution, which indicates...
Band selection for hyperspectral images helps improve the efficiency of data processing and even accuracy classification. It is to reduce dimensionality a image by selecting representative bands. In such process, quantification band similarity fundamental issue, it usually achieved using an information-theoretic measure, as mutual information or relative entropy. However, these measures are incapable quantifying in terms both composition configuration. To solve this problem, Boltzmann...
ABSTRACTPatent transfer-in is a crucial approach and source for regions to reduce R&D costs develop innovative technologies. Referring patent transfer records from the China National Intellectual Property Administration as data source, this paper explores drivers of in Chinese cities using geographically temporally weighted regression geographical detectors. Results show that: (1) 2013 2019, quantity urban increased obviously distributed heterogeneously. The Gini coefficient remained above...
In this paper, we present a novel unsupervised change detection scheme for multilook polarimetric synthetic aperture radar (PolSAR) images using heterogeneous clutter models. First, product model is introduced to describe the PolSAR data, and corresponding covariance matrix estimation method derived. Based on model, new similarity measure proposed quantify degree of evolution between statistical characteristics multitemporal fully images. Compared with classical Wishart distribution, both...
Coronavirus disease 2019 (COVID-19) has emerged as a growing focus of global attention and critical factor in public-health decision making. Towards fighting the COVID-19 outbreak, countries worldwide international organisations have taken various actions, including promoting transparency public access to data. In such communications, maps played an important role that map is worth thousand words. Most these form choropleth map. Here, we propose employing cartograms visualise both expansion...
Cities are spatially evolving complex systems. The order and pattern beneath the apparent chaos diverse physical forms of cities still unclear. How form structure a city evolve to improve its functions needs further exploration. To fill thisgap, we examine geometric fractal (GF), topological (TF), hierarchical (HF) evolution by taking Hong Kong street networks from year 1971 2018 as an example. We find that these keep be fractals both in structure. values GF, TF, HF dimensions increase with...
This study examines the relationship between science and technology insurance (S&T insurance) regional innovation from a macro input-output perspective. Based on provincial panel data 2010–2019, impact of S&T is examined using dynamic regression model. The results indicate that has significant promotion effect inputs with lagged but negative outputs. Further, there subject heterogeneity in role insurance. input central eastern regions, not western regions; enterprises, non-enterprise...
This study investigates the behavior of heavy oil reservoirs under varying saturation conditions through laboratory-scale in situ combustion (ISC) physical simulation experiments. The research focuses on propagation stability front and key parameters influencing process, with a systematic examination crude composition changes upgrading mechanisms during ISC. By employing gas chromatography (GC) infrared spectroscopy (IR) analyses, this evaluates transformation saturated hydrocarbons,...
In this paper we present an approach to controlling transitions in multirobot tasks which have been modelled as a linear series of steps. A box-pushing task is described sequence sub-tasks with separate controller designed for each step using finite state automata theory. Perceptual cues are formed by concatenating binary variables represent locally sensed stimuli into boolean vectors used specify between sub-task The redundant set homogeneous mobile robots equipped simple sensors and...