simple genetic algorithms

基本解释

In this chapter, we study and discuss the basic thoughts, principles and Simple Genetic Algorithms.
在这一章中，探讨了遗传算法的基本思想、原理和基本遗传算法。
According to the limitations of simple genetic algorithms, design genetic algorithms based on particle swarm.
针对简单遗传算法的局限性，提出了基于粒子群算法的遗传算法。
Combined with the gradient search, a hybrid genetic algorithm is formed to overcome the local minimum of the gradient search and the slowness of convergence rate of simple genetic algorithms.
同时，将遗传算法与梯度优化方法相结合，使得混合型遗传算法有效地解决了梯度算法局部极小问题和简单遗传算法的收敛速度慢问题。