CCGOA分为三个阶段，第一阶段，运用混沌反向学习初始化策略初始化种群

CCGOA divided into three stages, the first stage, the use of reverse chaos initialization learning strategies initial population so that the population is evenly distributed within the feasible solution space as possible to improve the uniformity and diversity locust algorithm initial population distribution.

CCGOA is divided into three stages, the first stage, the use of chaotic reverse learning initialization strategy to initialize the population, so that the population as uniform as possible distributed in the feasible solution space, so as to improve the uniformity and diversity of the initial population distribution of locust algorithm.

Ccgoa is divided into three stages. In the first stage, the chaos reverse learning initialization strategy is used to initialize the population, so that the population can be evenly distributed in the feasible solution space as much as possible, so as to improve the uniformity and diversity of the initial population distribution of locust algorithm.<br>