模式定理的英文

• scheme theorem

• "模式"英文翻译    model; mode; pattern; type; ...
• "定理"英文翻译    theorem
• "多式定理" 英文翻译 :    polynomial remainder theorem
• "多项式定理" 英文翻译 :    multinomial theorem; polynomial theorem
• "二项式定理" 英文翻译 :    bimodal theorem; binomial formula; binomischer lehrsatz binomial theorem
• "范式定理" 英文翻译 :    normal form theorem
• "我项式定理" 英文翻译 :    multinomial theorem
• "项式定理" 英文翻译 :    biparting door; bipolar dynamo
• "余式定理" 英文翻译 :    remainder theorem
• "模式定义" 英文翻译 :    mode definition; mode-definition
• "模式定义长度" 英文翻译 :    schema defining length
• "模式定义语言" 英文翻译 :    xsd (xml schema definition) xml; xsd xml
• "代数学因式定理" 英文翻译 :    factor theorem of algebra; factortheoremofalgebra
• "二项式定理的推广" 英文翻译 :    generalization of binomial theorem
• "格雷巴赫范式定理" 英文翻译 :    greibach normal form theorem
• "乔姆斯基范式定理" 英文翻译 :    chomsky normal form theorem
• "概念模式定义语言" 英文翻译 :    conceptual schema definition language
• "归结定理证明消解式定理证明" 英文翻译 :    resolution theorem proving
• "模式识别的判定理论法" 英文翻译 :    decision-theoretic approach to pattern recognition
• "定理" 英文翻译 :    (已经证明正确,可以作为原则或规律的命题或公式) theorem 基本定理 fundamental theorem; 几何定理 geometrical theorems; 定理验证[明] theorem proving
• "t-模式" 英文翻译 :    t-schema
• "模式" 英文翻译 :    model; mode; pattern; type; schema 以别国作模式 model itself on other countries; 集中管理模式和有计划机制 a centralized management mode and planning mechanism; 社会模式 social model
• "方式定义" 英文翻译 :    mode definition
• "分式定点" 英文翻译 :    fractional fix-point
• "分式定点法" 英文翻译 :    fractional fix-point method

• The modified genetic algorithm that is analyzed with the schema theorem is feasible
  以模式定理论述改进遗传算法的可行性。
• The paper discusses the basic theory of genetic algorithms including schemate theorem , building block hypothesis , implicit parallelism , the analysis of astringency and so on , as the theoretical base of application
  在对遗传算法的阐述中，讨论了遗传算法的基本原理，包括模式定理、积木块假设、隐含并行性和遗传算法的收敛性分析等，作为后面遗传算法应用的理论依据。
• ( 2 ) considering the problem that genetic algorithm running result is affected greatly by the initial parameter and it ’ s easy to trap in local optimum , based on its mathematic theory , studied deeply on self - adaptive genetic algorithm , presented a new viewpoint - - superiority inheritance , furthermore , designed adaptive genetic algorithm based on superiority inheritance . the experiment showed that this algorithm could find the global best solution , and had strongly global hunting capability . it is prior to traditional adaptive genetic algorithms on aspects of accuracy , stability , and repeatability etc . it was applied in fast image
  ( 2 )针对遗传算法的初始参数对算法结果影响较大和易陷入局部最优的问题,在阐述基本数学理论模式定理的基础上,对自适应遗传算法进行了深入的研究,提出了一种优势遗传的新观点,由此设计了基于优势遗传的自适应遗传算法,通过实验表明,该算法能够达到理想全局最优解,有很强的全局搜索能力,在准确性、稳定性和重复性方面优于当前自适应遗传算法。
• 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。
• The major tasks include : ( 1 ) expand the schema theorem for ga . the schema theorem with binary coding advanced by professor holland is expanded to limited integer , letter , floating point numbers the number of which value is limited , and their hybrid coding . ( 2 ) put forward replacing by the excellent chromosome ga ( recga ) , superiority colony first ga ( scfga ) and improve the ga ; ( 3 ) make probability convergence analysis of recga using the theory of markov chain , random process ; ( 4 ) make convergence analysis of scfga using the principle of contractive mapping in functional analysis theory ; ( 5 ) design the test programs ( cap ) to resolve np problems ( course arrangement ) with gas ; based on recga , modify the arithmetic and then conduct tests
  主要有以下几方面工作： ( 1 )将二进制编码遗传算法的模式定理扩展到由有限整数、字母或取值个数有限的浮点数编码，或它们混合编码的遗传算法范围； ( 2 )提出最佳个体替换策略遗传算法( recga ) 、优势群体优先策略遗传算法( scfga ) ，对遗传算法进行改进； ( 3 )使用随机过程理论markov链对recga进行了收敛性分析； ( 4 )使用泛函分析理论压缩映射原理对scfga进行了收敛性分析； ( 5 )使用遗传算法设计了解决np类问题(排课问题)的测试程序( cap ) ，并根据recga对算法进行改进并进行测试。