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- Studies on the search of minimum safety factor of slope with Genetic Evolution Algorithm 遗传进化算法搜索斜坡最小安全系数的研究
- Genetic Evolution Algorithm 遗传进化算法
- To control the genetic evolution with the fixed controlled parameter, it is easy to cause “precocity” and lower the searching efficiency of algorithm. 用不变的控制参数来控制遗传进化，很容易导致“早熟”，降低算法的搜索效率。
- Based on the analysis of genetic evolution process, this paper proposes a new maintaining adaptively optima genetic algorithm with simulated annealing(SAMOAGA), which can maintain some adaptively optimal offsprings and make them simulated annealing. 在分析遗传进化的基础上 ;提出了一种自适应最优保存的模拟退火遗传算法 ;自适应地保存最优个体 ;并对其进行模拟退火 .
- genetic evolutional algorithm 进化算法
- genetic evolutionary algorithm 遗传算法
- As a powerful technique, the isozyme analysis plays an important role in study of genetic evolution and differentiation of biological species. 同功酶分析作为一种有效的研究手段在研究物种的遗传进化中显示了极为重要的作用。
- Through simulating genetic evolution,a method of Optimize Selection of Sequence(OSS) is put forward,which can solve the above problem. 通过模拟生态遗传进化,提出了对多产品创新项目序列组合进行最优选择的最优序列选择法(OSS)。
- PETER J.RICHERSON and ROBERT BOYD have collaborated for 25 years in studying the evolution of human culture and how cultural and genetic evolution interact. 李谢森与包艾德合作了30年，研究人类文化的演化，以及文化演化与基因演化如何相互影响。
- ROBERT BOYD and PETER J.RICHERSON have collaborated for 25 years in studying the evolution of human culture and how cultural and genetic evolution interact. 包艾德与李谢森合作了30年，研究人类文化的演化，以及文化演化与基因演化如何相互影响。
- Because genetic evolution is relatively well understood, most of DIT examines cultural evolution and the interactions between cultural evolution and genetic evolution. 由于对遗传进化的了解比较透彻，双继承理论主要侧重于研究文化进化以及文化进化与遗传进化之间的互作。
- They observed that antigenic drift was more punctuated than genetic evolution, and genetic changes sometime had a disproportionately large antigenic effect. 此发现显示抗原性演化比基因演化更具有不连续之跳跃性，且基因序列上的改变有时会造成不等价之钜大抗原性影响。
- IDEP algorithm also takes the network training process as an optimization problem. Differing from CO method, IDEP algorithm is based on the differential evolution algorithm. 算法也将网络训练作为一个优化问题来处理，与有约束优化方法不同的是，它是建立在差分进化算法的基础上，通过对一个群体不断进行选择、杂交和变异操作，使之逐步进化，最终找到优化解。
- We formulate the design problem as a constrained parametric optimization and apply a differential evolution algorithm to search globally the optimal controller parameters. 此设计问题将表示成含条件式之参数最适化，而微分演化演算法将应用于搜寻全域之最适控制参数。
- Fuzzy Adaptive Genetic Algorithm（FAGA） is a new evolutionary algorithm which applies the Fuzzy Controller（FC） to the performance and parameter control of genetic algorithm. 摘要 模糊自适应遗传算法是将模糊控制器应用于遗传算法性能和参数控制的一种新型进化算法。
- For complex functions with high dimensions，a New Differential Evolution algorithm（NDE） based on the variance of the population’s fitness is presented. 摘要 针对高维复杂函数的优化问题，提出了一种新的差分进化算法（NDE）。
- From this paper, we can see that using evolutionary algorithm to solve a factual problem, mainly depend on how to code the problem and its genetic operator. 从问题的解决中可以看到，利用遗传算法解决实际问题，主要依赖于问题的编码以及遗传操作算子。
- The idea of evolutionary algorithms is not new. 进化算法这个观点并不是新提出。
- The idea that human cultures undergo a similar evolutionary process as genetic evolution goes back at least to Darwin. 那种认为人类文化经历了类似遗传进化的过程的思想，至少可以追溯到达尔文。
- Immune Evolutionary Algorithm (IEA) was a kind of evolution arithmetic based on Genetic Arithmetic (GA), which could strengthen the local search, and also considered the global search simultaneously. 免疫进化算法(IEA)是基于遗传算法(GA)的一种“加强局部搜索,兼顾全局搜索”的进化算法。
