Self-adaptive Teaching-learning-based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems
Jing Bi,Ziqi Wang,Haitao Yuan,Junfei Qiao,Jia Zhang,MengChu Zhou,Jing Bi,Ziqi Wang,Haitao Yuan,Junfei Qiao,Jia Zhang,MengChu Zhou
Evolutionary algorithms are commonly used to solve many complex optimization problems in such fields as robotics, industrial automation, and complex system design. Yet, their performance is limited when dealing with high-dimensional complex problems because they often require enormous computational resources to yield desired solutions, and they may easily trap into local optima. To solve this prob...
