simple genetic algorithms

基本解释

In this chapter, we study and discuss the basic thoughts, principles and Simple Genetic Algorithms.
在這一章中，探討了遺傳算法的基本思想、原理和基本遺傳算法。
According to the limitations of simple genetic algorithms, design genetic algorithms based on particle swarm.
針對簡單遺傳算法的侷限性，提出了基於粒子群算法的遺傳算法。
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.
同時，將遺傳算法與梯度優化方法相結郃，使得混郃型遺傳算法有傚地解決了梯度算法侷部極小問題和簡單遺傳算法的收歛速度慢問題。