遗传进化算法,genetic evolutionary algorithm
1)genetic evolutionary algorithm遗传进化算法
1.Application ofgenetic evolutionary algorithm for slope stability analysis;遗传进化算法在边坡稳定性分析中的应用
2)evolution genetic algorithm进化遗传算法
1.Based on Darwin s theory of evolution,new operators of crossover and mutation are presented in modifiedevolution genetic algorithm(EGA),which makes it obtain better global convergence.改进了进化遗传算法 ,提出了新的交叉算子和变异算子 ,使之具有更好的全局收敛能力。
2.The disadvantages ofevolution genetic algorithm were analyzed in this paper.分析了进化遗传算法的弊端。
英文短句/例句
1.Multi-issue Negotiation Based on Co-evolutionary Genetic Algorithm基于协同进化遗传算法的多议题谈判
2.Application of coevolutionary genetic algorithm in optimal sensor placement协同进化遗传算法在传感器优化配置中的应用
3.The experimental simulation results are given lastly.最后给出了病毒进化遗传算法的试验仿真结果。
4.Adversarial Problems Solving Based on Competitive Coevolutionary Genetic Algorithms基于竞争性共同进化遗传算法求解对抗性问题
5.Methods Optimize the routes by using the genetic algorithm (GA) whose crossover operator is improved.方法利用遗传算法进行优化，对遗传算法的交叉操作进行改进。
6.Research on Multimodal Genetic Algorithm and Multi-Objective Evolutionary Algorithm;多峰优化遗传算法及多目标优化进化算法研究
7.Study on Reactive Power Optimization Based on the Improved Genetic Algorithm;基于改进型遗传算法的无功优化研究
8.Improvement of Genetic Algorithm for TSP and Its Parallelization Study;TSP遗传算法的改进及其并行化研究
9.Optimal Filter Design Based on Improved Genetic Algorithm;基于改进遗传算法的滤波器优化设计
10.Research on TSP of Optimization Based on Improved Genetic Algorithm;基于改进遗传算法的TSP问题优化研究
11.Layout Optimal Subproblem Based on an Improved Genetic Algorithm;基于改进遗传算法的布局优化子问题
12.A Study on Evolutionary Support Vector Machine Based on Genetic Algorithm;基于遗传算法的进化支持向量机研究
13.Expression Recognition Based on SVM with GA Evolution基于遗传算法进化的SVM人脸表情识别
14.BP Neural Network Weight Optimization Based on the Improvement Genetic Algorithm基于改进遗传算法的BP网络权值优化
15.Improvement on Population Initialization of Genetic Algorithm Solution for VRP遗传算法求解VRP的种群初始化改进
16.Reactive Power Optimization Based on Improved Genetic Algorithms in Distribution System基于改进遗传算法的配电网无功优化
17.QoS routing optimization based on improved genetic algorithms基于改进遗传算法的QoS路由优化
18.Research of Routing Optimization Algorithms Based on Ahn Improved Genetic Algorithms基于Ahn改进遗传算法的路由优化算法的研究
相关短句/例句
evolution genetic algorithm进化遗传算法
1.Based on Darwin s theory of evolution,new operators of crossover and mutation are presented in modifiedevolution genetic algorithm(EGA),which makes it obtain better global convergence.改进了进化遗传算法 ,提出了新的交叉算子和变异算子 ,使之具有更好的全局收敛能力。
2.The disadvantages ofevolution genetic algorithm were analyzed in this paper.分析了进化遗传算法的弊端。
3)virus evolutionary genetic algorithm病毒进化遗传算法
1.Improvedvirus evolutionary genetic algorithm for job-shop scheduling problem;单件车间调度问题的改进型病毒进化遗传算法
2.In order to solve the problem of quality and cost optimization of a large product structure, avirus evolutionary genetic algorithm (VEGA) is developed, and then the coding and decoding representation of the solution as well as the calculation of the fitness function are designed.针对一种大型产品结构的质量一成本优化问题,设计了一种病毒进化遗传算法,提出了相应的编码解码方案和适应度的计算。
4)CGA协同进化遗传算法
1.Co-Genetic Algorithm(CGA) is applied to optimization for fuzzy image processing.将协同进化遗传算法(CGA)应用于图像增强的模糊算法优化,以优化模糊逻辑处理效果。
5)genetic annealing evolutionary algorithm遗传退火进化算法
1.From the viewpoint of intensifying convergence and reducing dependency of parameters,agenetic annealing evolutionary algorithm that can be applied for solving knapsack problem is proposed.从增强算法收敛性和减少参数依赖性的角度出发,提出应用遗传退火进化算法求解背包问题。
6)genetic annealing evolutionary algorithms遗传退火进化算法
1.Adhibit efficiency function, Thegenetic annealing evolutionary algorithms are applied to realize the optimization of scheduling decisions.引入效率函数 ,运用遗传退火进化算法实现了调度决策的优化 ;提出了将遗传退火算法和分派规则相结合的调度策略和动态编码的方法 ,放宽了约束条件 ,提高了搜索效率和速度 ,保证其全局收敛性。
2.Based on reducing searching region, intensifying astringency and shortening calculating time, the author puts forward thatgenetic annealing evolutionary algorithms could be applied for resolving the problem of reasonable mixed loading in a container for the piece goods, and also explicates how to specifically realize it.本文从缩小搜索区域、增强算法的收敛性以及缩短计算时间的角度出发 ,提出应用遗传退火进化算法求解零担货物在集装箱中合理装载问题 ,阐明了该算法的具体实现过程 ,并通过实际数值计算表明该算法优于传统的计算方法。
延伸阅读
进化论算法分子式：CAS号：性质：进化首先是生物学的概念。根据达尔文“生物进化论”的观点：生物的发展和演变是根据自然选择的方式进行。生物机能和形态的变化，可从它所处的环境中寻找解释。生物的进化过程也许完全不是随机的，高级生物的进化过程很可能是“合情的产生与检验”的过程，即也许自然界掌握着一种很高明的“自动程序设计”方法进行遗传“程序”的书写。模仿上述生物进化论所形成的应用算法称为进化论算法。
