Optimization is playing a rising part in the operation of electrical power system. Metaheuristic
optimization algorithms, such as Particle Swarm Optimization and Differential Evolution, are …

A comparative study is performed to reveal the convergence characteristics and the
robustness of three local neighborhoods in the particle swarm optimization algorithm (PSO) …

针对传统PID 控制器控制无刷电机时系统响应慢, 速度波动大的问题, 以及手动整定大规模电机
参数繁琐重复的问题, 采用了一种基于粒子群优化算法的无刷直流电机PID 参数整定方法 …

Particle swarm optimisation (PSO) is an intelligent random search algorithm, and the key to
success is to effectively balance between the exploration of the solution space in the early …

Quantum-inspired evolutionary algorithms (QEAs) are designed by the integration of
principles from quantum mechanics into the framework of evolutionary algorithms. QEAs are …

Both high-speed transportation and reusable launch vehicles are once again under constant
development, after reaching stagnation points due to immature technologies. This resulted …