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 algorithms.

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 jiùshì júbù shōuliǎn sùdù kuài.

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