The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …

Exact optimization algorithms are not able to provide an appropriate solution in solving
optimization problems with a high-dimensional search space. In these problems, the search …

Optimizing day-ahead generation schedules of hydro–wind–photovoltaic (PV)
complementary systems (HWPCSs) can help to promote the accommodation of wind and …

The complementary management of hydro, wind, and photovoltaic (PV) energy can
effectively promote new energy consumption. However, the flexibility of hydropower is often …

摘要大规模水-风-光-储互补互济, 打捆外送是促进新能源消纳的重要方式. 如何应对风,
光出力预测不确定性所诱发的运行风险, 并满足特高压直流输电功率的平稳性 …

In this paper, the convergence analysis and the improvement of the chicken swarm
optimization (CSO) algorithm are investigated. The stochastic process theory is employed to …

One of the major obstacles in using radial basis function (RBF) neural networks is the
convergence toward local minima instead of the global minima. For this reason, an adaptive …

Differential evolution is an excellent optimizer for single objective optimization problems. To
extend its use for multi-objective optimization problems with promising performance, this …

This paper presents an approach for continuous optimization called Adaptive Differential
Evolution for Multiobjective Problems (ADEMO/D). The approach incorporates concepts of …

The role of an intelligent control system with a certain stage of autonomy is prerequisite for
effective operation. We designed a particle swarm optimization, fuzzy proportional integral …