带有交叉操作的教-学优化算法

针对教-学优化算法(TLBO)求解无约束数值优化问题容易陷入局部最优的不足，提出了一种带有交叉操作的教-学优化算法(C-TLBO).将差分进化算法的交叉操作引入到TLBO算法中，有效地融合了教学阶段和学习阶段，增强了算法的局部搜索，平衡了算法的开采和探索.数值结果表明该算法在优化精度、收敛速度、鲁棒性方面，优于TLBO算法、I-TLBO算法以及其他智能优化算法，具有良好的发展前景.

Teaching Learning Based Optimization Algorithm with Crossover Operation

Since the teaching learning based optimization (TLBO) algorithm was easily trapped into local optima in solving unconstrained numerical optimization problems， a teaching learning based optimization algorithm with crossover operation was proposed. The crossover operation of differential evolution was incorporated into TLBO， this operation was effectively integrating teaching and learning stage and it was beneficial to enhance local search and balance exploitation and exploration. The numerical results show that the proposed algorithm is better than TLBO， I TLBO and other intelligent methods in terms of optimization precision， convergence speed and robustness， and the algorithm has good perspectives.