A5008831866- Slime Mold and Myxomycetes Research
- Metaheuristic Optimization Algorithms Research
- Advanced Algorithms and Applications
- Advanced Control Systems Design
- Parallel Computing and Optimization Techniques
- Advanced Sensor and Control Systems
- Neural Networks and Applications
- Cloud Computing and Resource Management
- Low-power high-performance VLSI design
- Soil Mechanics and Vehicle Dynamics
- Advanced Control Systems Optimization
Tiangong University
2021
Fujian Agriculture and Forestry University
2014
Shenyang Ligong University
2014
In the past few decades, metaheuristic algorithms (MA) have been developed tremendously and successfully applied in many fields. recent years, a large number of new MA proposed. Slime mould algorithm (SMA) is novel swarm-based intelligence optimization algorithm. SMA solves problem by imitating foraging movement behavior slime mould. It can effectively obtain promising global optimal solution. However, it still suffers some shortcomings such as unstable convergence speed, imprecise search...
Aiming at the phenomena of big time delay are normally existing in industry control, this paper proposes an intelligent GA-Smith-PID control method based on genetic algorithm and Smith predictive compensation traditional PID controller. This uses ability line-study, a self-turning strategy GA, better to deal with delay. overcomes limitation effectively, improves system’s robustness self-adaptability, gets satisfactory system.
The meta-heuristic algorithms with many excellent optimization characteristics have been widely adopted in practical engineering projects, such as production scheduling, robot path optimization, and mechanical design. slime mould algorithm (SMA) is a newly swarm-based by simulates the foraging movement behavior of mould. When SMA deals global problems, it can get more promising solution most time compared other algorithms. But still has some shortcomings like algorithms, for example, when...
The soil’s temperature plays an important role of soil ecology research. In order to gain and control soil’ temperature. A system is proposed for And a new algorithm which based on the PID designed in handle complex change It does not need know mathematical model At last, result analyzed this paper. shows that controlled ideal by accurate 0.5°C.