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- One complex number is used to denote each diploid and define the genetic operators. 每一个复数对应于双倍体的一对等位基因 .
- The one-dimensional binary code is used to encode the algorithm because it is suitable to express genetic operators. 为了加快算法的收敛，在适应值函数中引入了惩罚函数，可以保证所求约简既含较少属性又有较强支持度。
- The genetic operators are improved, as a result the inherence shortcoming of integer coding is overcomed. 对遗传操作算子进行了改进，克服了整数编码固有的缺点。
- Standard genetic operators are not always suitable for task matching and scheduling based on permutation representation. 基于任务排列的知识表示，常规的标准遗传操作算子并不总是有效的。
- NIGA based on immune algorithm employs genetic operators to improve antibodies,and niche technique to increase the population diversity. 以免疫算法为基础,通过遗传算法进化抗体群,利用小生境技术保持抗体群的多样性。
- The code scheme of network structure,and the corresponding genetic operators are designed. As a result,the algorithm converges on the overall optimal structure. 针对这种分类器的结构学习,设计了结合对数似然的适应度函数及相应的遗传算子,并给出了网络结构的编码方案,使得该算法能够收敛到全局最优的结构。
- A novel tube circuit optimization approach for fin-and-tube heat exchanger was presented by developing a particular genetic coding method and genetic operators. 通过设计有针对性的遗传编码方法和遗传操作算子,提出了一种实用有效的换热器管路连接优化方法。
- The main contributions are that a novel coding method and corresponding genetic operators are put forward to avoid the generation of infeasible solutions. 相比同类的研究，该方法的主要优势在于提出一种新颖的编码方法，并设计了相应的遗传算子，避免了在计算过程中不可行解的产生。
- In terms of indemnifying model coefficients ,the author develops two GA versions embedded the two bit genetic operators, for evaluating classical time series models and the weights of ANN. 针对模型参数识别问题，笔者又提出了两种嵌入了基本位遗传操作算子的GA新策略，分别用于识别经典时序模型的参数和优化人工神经网络模型(简称ANN)的权重。
- In the forth part, with inducting the Genetic Algorithms (GA), this thesis analyzes the solvent of IRP model, and regulates the genetic operators, fitness function limits and every steps of solvent. 在第四部分中，本文引入了具有较强鲁棒性的遗传算法，对模型的求解方法做出了详细的分析，对算法中的各类算子和约束条件做出相应规定，并且给出了求解的详细步骤。
- PEGA make up for their lacks and genetic operation of PEGA is much simper than traditional genetic algorithm. 与传统的遗传算法相比,PEGA算法弥补了它们的不足之处,简化了遗传算法。
- In addition, a new accelerating genetic operator was introduced to improve the convergence of GNN. 另外;设计了一个新的加速遗传算子;可以提高实数遗传算法的收敛速度.
- Elitist strategy is used during the genetic operation to make sure the user does not lose the fittest result. 然后通过选择、交叉、变异等遗传操作,生成下一代染色体,并在图像库中找出与新一代染色体对应的图像,作为检索结果显示。
- In addition the well-known genetic operators, this study proposed a new mutation operator called dynamic mutation for solving the resident physician scheduling problem. 不仅如此，针对上述住院医师排班问题所需要达成的需求，改良传统基因演算法的步骤-突变，命名为动态突变。
- A repair function is used to eliminate the unfeasible solution produced by genetic operations. 该算法采用了可变长度染色体的编码方法，并使用了随机遍历抽样的选择方法，根据网络的拓扑信息进行交叉和变异操作，同时使用修正函数以消除遗传操作中产生的不可行解。
- In PGA, genetic operation is simpler and the initial population need not to be varied and there is not immature convergence. 它具有遗传操作简单 ,不要求初始群体的广泛多样性 ,不存在“早熟收敛”现象等特点 ,非常适合于求解组合优化问题。
- It also designs specialized genetic operator based on improved GA performance and adopts new initial population selection method. 同时从改进遗传算法性能的角度出发，设计了专门的遗传算子，并采用了新的初始种群选择方法。
- According to the phenomenon that single parent can breed offspring through asexual reproduction, evolutionary and genetic operator can be designed. 借鉴生物界单亲父本可以经过无性繁殖得到子代的现象，对进化和遗传等重组算子进行设计。
- 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。
- By computing valid path to evaluate individuals and cumulate local advantage modules in the procedure of genetic operations, invalid individuals can be processed and formed valid individuals at last. 通过计算个体的有效路径，评价个体，并在遗传操作中不断累积局部优势模式，可以对无效解进行遗传操作并最终生成有效解。
