theory of evolution

theory of evolution的基本解释

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进化学说, 天演

与theory of evolution相关的网络例句 [注：此内容来源于网络，仅供参考]

The specifically used learning-theories are Thorndike"s, error-tried learning-theory Pavlov"s conditioning learning-theory, Watson"s learning-theory, Guthrie"s neighboring learning-theory, Estes"s sampling learning-theory, Skinner"s manipulating learning-theory, Wertheimer"s learning-theory, Wulf"s learning-theory, Lewin"s surroundings cognizing learning-theory, Piaget"s constructing learning-theory, Bruner"s cognizing structure learning-theory, Ausubel"s assimilating cognize learning-theory, processing information learning-theory, Tolman"s signal learning-theory, Grgne"s accumulating learning-theory, Bandura"s society learning-theory, Rogers"s learning-theory.

具体所应用的学习理论包括：桑代克试误学习理论；巴甫洛夫条件作用学习理论；华生学习理论；格思里邻近学习理论；埃斯蒂斯抽样学习理论；斯金纳操作学习理论；韦特墨学习理论；沃尔夫学习理论；勒温认知一场学习理论；皮亚杰建构学习理论；布鲁纳认知结构学习理论；奥苏贝尔认知同化学习理论；信息加工学习理论；托尔曼信号学习理论；加涅积累学习理论；班杜拉社会学习理论和罗杰斯学习理论。

Finally, it analyses the time complexity of the algorithm and researches how it is influenced by culture operator.3、The paper presents the evaluation standard of the GA's application capability. Basing on characters such as continuity, multi-peak, vibration, randomicity as well as large-scale, five functions are selected to test search ability and robustcity of co-evolution algorithm. Finally, it analyses the simulation result and researches the influence of algorithm brought by culture operators.4、Basing on the concept of collection overcast, it researches the task distribution issue and constitutes delaminated math model on task distribution issue. It puts out the co-evolution algorithm of subtask's decomposing. The experiment compare IGA、SGA to CN and validates the efficiency of co-evolution algorithm on the NP completeness issue.5、Being aim at the optimization issue of load of antenna near ground, it combines many GA strategies and puts forward strategic meme. And it puts out co-evolution algorithm of load of antenna design. And it emulates the optimization design of load of antenna near ground. Finally, it valuates the co-evolution algorithm's efficiency on the continuum search issues of multi-variable and multi-peak value.6、Being aiming at the knowledge of image model matching, it adopts single meme and real code. It puts out fast co-evolution matching algorithm strategy. Basing on NPROD resemble measurement, I emulate the indiscrimination model matching and discrimination model matching. Finally, it valuates the co-evolution algorithm's efficiency on the real code and real time search issue.

分析了算法的时间复杂度，研究了文化算子对算法时间复杂度的影响。3、提出了GA的应用性能评价标准，从连续性、多峰性、随机性、振荡性、广域性多个角度出发选择五个测试函数，对共同进化算法的搜索性能和鲁棒性作了函数优化的性能测试，分析了仿真结果，研究了文化算子对算法的影响。4、基于集覆盖的概念，研究了MAS中的任务分配问题，建立了任务分配问题的分层数学模型，给出了子任务分解共同进化算法，实验比较了IGA、SGA、CN，验证了共同进化算法对NP完全问题的有效性。5、针对近地天线加载优化设计问题，结合多种改进GA策略，提出了策略型拟子，给出天线加载设计的共同进化算法，对有耗半空间对称偶极子天线加载优化设计作了仿真实验，验证了共同进化算法对多变量多峰连续搜索问题上的有效性。6、针对图像模板匹配问题的领域知识，采用单类拟子和实数编码，给出快速共同进化匹配算法策略，基于NPROD相似度测度，仿真试验了无差别和有差别模板匹配，验证了共同进化算法对实数编码和实时性搜索问题上的有效性。

In history and reality, the contradiction between needs and limited resource always exists. From the view point of system-science, it can be concluded that:①The interaction among need-contradiction-ability is the perpetual force for enterprise evolution (and the evolution of other living systems). The improvement of "ability"is the process and result of evolution.②The competition and coordination among systems is the direct power for enterprise evolution. Competition produces various system actions. Coordination makes systems complement their functions with each other. The interactions of competition and coordination push enterprise into the flow of evolution and optimization.③The"stochastic fluctuation"of the system, which is accidental finding, is another force for enterprise evolution. It is a deterministic element in the process of the self-organization of enterprise.

在历史和现实中，需要和满足需要资源稀缺之间的"问题"是恒久存在的，从系统科学的角度可以演绎出：①需要一问题一能力三种异质要素的相互作用是企业进化（其它一切有生命系统进化）的永恒动力，"能力"的提高正是进化的过程和结果；②各系统间的竞争与协同是企业进化的直接动力，竞争产生多样化的系统行为，协同则使各系统间优势互补，竞争与协同交互作用推动企业呈现出进化与优化的趋势：③系统的"随机涨落力"即意料之外的发现与创新是推动企业进化的又一种动力，它是企业自组织过程中带有必然性的力量：④在解决"问题"中创新者的作用不可低估，但更为根本地说创新者只是"需要一问题一能力"这三种要素相互作用的载体，个体的创新是企业自组织过程的必然结果。

与theory of evolution相关的网络解释 [注：此内容来源于网络，仅供参考]

Pineal Gland,Evolution of：(松果腺的进化)

Opioid/Orphanin Gene Family,Evolution of(阿片样物质/孤啡肽基因家族的进化) | Pineal Gland,Evolution of(松果腺的进化) | Pituitary Gland,Evolution of(垂体的进化)

theory of epigenesis：后成说

创化论;创造演化说 theory of creative evolution | 后成说 theory of epigenesis | 染色体组说 theory of genome

Theory of promiscuity：乱交说

演化论,进化论 Theory of evolution | 乱交说 Theory of promiscuity | 社会契约说 Theory of social contract