A5088800065- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Metaheuristic Optimization Algorithms Research
- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Advanced Multi-Objective Optimization Algorithms
- Advanced Graph Neural Networks
- Electric Power System Optimization
- Water resources management and optimization
- Evolutionary Algorithms and Applications
- Digital Marketing and Social Media
- Optimization and Search Problems
- Advanced Optimization Algorithms Research
- Mathematical and Theoretical Epidemiology and Ecology Models
- Water-Energy-Food Nexus Studies
- Evolutionary Game Theory and Cooperation
- Optimization and Variational Analysis
- Petri Nets in System Modeling
- Assembly Line Balancing Optimization
- Bioinformatics and Genomic Networks
- Optimization and Packing Problems
- Magnetic Bearings and Levitation Dynamics
- Social Media and Politics
- Real-time simulation and control systems
- Matrix Theory and Algorithms
Lanzhou University of Technology
2013-2025
Guizhou Electric Power Design and Research Institute
2024
Wenzhou University
2022-2023
Chongqing University
2023
Alfred University
1992-2020
Guangxi University
2020
Lanzhou University
2017-2019
Xidian University
2011
Anhui University
2010
Florida State University
2004
A hyper-heuristic algorithm is a general solution framework that adaptively selects the optimizer to address complex problems. classical consists of two levels, including high-level heuristic and set low-level heuristics. The heuristics be used in optimization process are chosen by tactics hyper-heuristic. In this study, Cooperative Multi-Stage Hyper-Heuristic (CMS-HH) proposed certain combinatorial CMS-HH, genetic introduced perturb initial increase diversity solution. search phase, an...
Influence maximization (IM) is a pivotal challenge in social network analysis, which aims to identify subset of key nodes that can maximize the information spread across networks. Traditional methods often sacrifice solution accuracy for spreading efficiency, while meta-heuristic approaches face limitations escaping local optima and balancing exploration exploitation. To address such challenges, this paper introduces landscape-aware discrete particle swarm optimization (LA-DPSO) solve IM...
This paper addresses short-term scheduling of hydrothermal systems by using extended differential dynamic programming and mixed coordination. The problem is first decomposed into a thermal subproblem hydro relaxing the supply-demand constraints. solved analytically. further set smaller problems that can be in parallel. Extended coordination are used to solve subproblem. Two tested results show new approach performs well under simulated parallel processing environment, high speedup obtained....
The flow shop scheduling problem with limited buffers is a typical combinational optimisation that NP-hard. In this article, an improved particle swarm linearly decreasing disturbance term (LDPSO) presented for permutation between consecutive machines to minimise the maximum completion time (i.e. makespan). A was added velocity, updating formula of standard algorithm. decision probability used control utilisation global exploration operation and local exploitation search based on...
The top-k influential individuals in a social network under specific topic play an important role reality. Identifying nodes of is still open and deeply-felt problem. In recent years, some researchers adopt the swarm intelligence algorithm to solve such problems obtain competitive results. There are two main models for intelligence, namely Ant Colony System (ACS) Particle Swarm Optimization (PSO). discretized basic Algorithm (DPSO) shows comparable performance identifying network. However,...
This paper proposes a transmission line protection relaying scheme model using Petri nets (PNs), including three types of relays as well an automatic reclosing device. By analyzing the properties PN model, dynamic behaviors modeled system are evaluated and drawback is detected. may also be extended to other similar systems evaluate their performances.
This paper addresses real-time DC motor speed and position control using the low-cost TMS320C31 digital signal processing starter kit (DSK). A PID controller is designed MATLAB functions to generate a set of coefficients associated with desired controller's characteristics. The are then included in an assembly language program that implements controller. Code Explorer used load run achieve control. Furthermore, parameters can be adjusted while running, so online adjustment achieved. avoids...
According to the central symmetry and bright-dark alteration of four peripheral regions at X-corner, an automated X-corner detection algorithm (AXDA) is presented camera calibration problem. By detecting gray changes image, can locate position accurately using minimum correlation coefficient regions. Cross points intersection are calculated least square straight line fitting algorithm. The method not only realize sub-pixel extraction, but also resolve low automation degree problem present...
As an important research field of social network analysis, influence maximization problem is targeted at selecting a small group influential nodes such that the spread triggered by seed will be maximum under given propagation model. It yet filled with challenging topics to develop effective and efficient algorithms for especially in large-scale networks. In this paper, adaptive discrete particle swarm optimization (ADPSO) proposed based on topology community According framework ADPSO,...