single population meaning in Chinese
单总体
单组
种种群
Examples
- Oscillation of positive solutions of a single population growth model
一类单种群增长模型正解的振动性 - Finally , genetic optimization research is summarized on several typical production scheduling problems . after expounding the general idea of genetic algorithm , the comparative advantages in contrast to the traditional algorithm , the basic characteristics of genetic algorithm and its theoretical base , the paper puts emphasis on the efficiency of genetic algorithm in the scheduling of flow shop , and puts forward an improving genetic algorithm : the ordinal genetic algorithm based on the heuristic rules . the new algorithm introduces into the initial group the solution of heuristic algorithm , and in the group structure adopts a strategy of first ordering according to the priority of the adaptive solution , and then defining a new way of choosing probability by segments , which provides more hybridizing opportunity for optimized individuals , and designs variation - control rule to prevent single population and partial optimal solution
在论述了遗传算法的思想、与传统搜索算法的比较优势、遗传算法的基本特征和遗传算法的理论基础(包括模式定理、隐含并行性、基因块假设、欺骗问题和收敛性定理)后，重点探讨了遗传算法在flowshop调度问题中的潜力和有效性；结合启发式规则，提出了一个改进的遗传算法?基于启发式规则的有序遗传算法，新算法在初始种群中引入了启发式算法的解，在种群结构上采用了先按适应值优劣排序再分段确定选择概率的新策略，使优质个体有更多的杂交机会，在变异中设计了变异控制规则，以防种群单一化，而陷入局部优化解。 - Thereupon , in the 3rd chapter , the characteristics of the ecological systems are discussed and the necessity of aggregation is proposed , then , the method of choosing macro - variables is discussed , and the aggregation method for the systems of ordinary differential equation is proposed . in the 4th and 5th two examples : the model of single population and the model of two populations in different environment are discussed , the method which have proposed in 3rd chapter is implemented in the two examples
同时在第四章和第五章中分别介绍生态系统中的两种情况：单物种的发展模型和两物种在不同环境中竞争的模型，分别介绍了对这两种模型建立过程，并且应用第3章中介绍的方法对上述两种模型进行聚合。然后，对聚合后的聚合模型进行分析，得到聚合模型的稳定状态。 - Firstly , we introduced the main idea , the formalized description , and the basic flow of co - evolution algorithm . then , from the point of pattern analyzation , we established the mathematics model of the multi - population co - evolution algorithm based on pattern replicator equation of the single population genetic algorithm , and made the theoretical analysis and compare for the method of best choice and the method of random choice of the co - evolution algorithm . we put forward a new method for the individual fitness evaluation , and validated the performance of the new method by the simulation experiment
首先，在介绍了协进化算法的核心思想、形式化描述和基本算法流程的基础上，从模式分析角度出发，建立了基于模式复制方程的多群体协进化算法数学模型，对协进化算法中的最优选择法和随机选择法进行了理论分析与比较，提出了一种新的个体适应度评价方法，并通过仿真实验验证了新方法的效率。