基于教与学改进机制的粒子群算法，对算法的精度具有积极的促进作用，对优化算法的学习具有帮助-Particle swarm optimization based on teaching and learning mechanism has a positive role in the accuracy of the algorithm,and is helpful in the study of optimization algorithm

教与学优化算法，和结合粒子群算法、遗传算法比较，该算法效果更好，迭代次数少-Teaching and learning optimization algorithm, and combining particle swarm optimization, genetic algorithm, the algorithm is better, fewer iterations

教与学算法，局部优化算法，收敛快，精度高。可与差分进化等全局寻优算法配合使用，这个算法的特点就是局部收敛速度快。-56/5000 Jiào yǔ xué suànfǎ, júbù yōuhuà suànfǎ, shōuliǎn kuài, jīngdù gāo. Kě yǔ chāfēn jìnhuà děng quánjú xún yōu suànfǎ pèihé shǐyòng, zhège suànfǎ de tèdiǎn j

教与学优化算法 智能优化算法 启发式算法(teach-learn based optimization algrithom)