目的：探讨培养的海马神经元网络对外界刺激信息的群体编码机制。
Objective:To investigate the mechanism of population coding underlying the stimulus information processing in hippocampal neuronal network.
并且结合背包问题实例，给出了具体的编码方法，运行参数，群体大小，最大迭代次数，以及合适的遗传算子。
And the combination of an instance of the knapsack problem, given specific encoding method, operating parameters, population size, maximum number of iterations, and appropriate genetic operators.
该算法对传统遗传算法的编码方式、群体规模以及遗传算子等方面进行了改进，利用专家知识辅助搜寻可行解，并提出罚因子的自适应调整。
This algorithm improves the method of coding, size of population and operators; USES expert knowledge to aid searching feasible solution; and presents self adaptive adjusting of penalty factor.
针对一类协同进化算法给出其二进制编码有限群体模型。
Firstly a new Co-GA model based on binary limited population is presented.
针对一类协同进化算法给出其二进制编码有限群体模型。
Firstly a new Co-GA model based on binary limited population is presented.
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