A5052924944- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Grey System Theory Applications
- Electric Power System Optimization
- Optimal Power Flow Distribution
- Advanced Algorithms and Applications
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Image Enhancement Techniques
- Advanced Thermodynamics and Statistical Mechanics
- Software System Performance and Reliability
- Advanced Vision and Imaging
- Advanced Sensor and Control Systems
- Phase Equilibria and Thermodynamics
- Advanced Image and Video Retrieval Techniques
- Process Optimization and Integration
- Diverse Interdisciplinary Research Innovations
- Transportation Planning and Optimization
- Power System Reliability and Maintenance
- Engineering and Test Systems
- Image Processing Techniques and Applications
- Recommender Systems and Techniques
- Energy Load and Power Forecasting
- Neural Networks and Applications
Yangtze University
2016-2024
Wuhan University of Technology
2012-2014
Hubei Engineering University
2004-2014
Hebei University of Engineering
2012
The backtracking search optimization algorithm (BSA) is a population-based evolutionary for numerical problems. BSA has powerful global exploration capacity while its local exploitation capability relatively poor. This affects the convergence speed of algorithm. In this paper, we propose modified inspired by simulated annealing (BSAISA) to overcome deficiency BSA. BSAISA, amplitude control factor (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Phase equilibrium calculations are frequently encountered in various industrial processes and many methods, including direct solution methods based on Newton's method indirect thermodynamic principles sprang out. They all can calculate the satisfactory solutions of phase equilibria problem under given volume, temperature, moles (NVT-flash), but there still exist problems initial value sensitivity solving complex derivatives. Thus, a constrained backtracking search optimization algorithm...
The differential evolution algorithm (DE) is one of the most powerful stochastic real-parameter optimization algorithms. theoretical studies on DE have gradually attracted attention more and researchers. However, few researches been done to deal with convergence conditions for DE. In this paper, a sufficient condition corollary global optima are derived by using infinite product. A framework satisfying then established. It also proved that two common mutation operators satisfy framework....
Traditional methods, including direct solution methods based on Newton's method and indirect thermodynamic principles, are the mainstream used to solve volume-temperature flash calculation (called NVT-flash), even though they suffer from drawbacks such as sensitivity initial value complexity of derivative calculations. A constrained backtracking search algorithm (CBSA), proposed in 2024, was first only metaheuristic successfully tackle NVT-flash problem, which overcomes shortcomings...