| 1. | In configuration optimization of truss with mixed variables , mixed coded strategies are proposed which are binary and floating coding , integer and floating coding
对于混合变量的析架形状优化问题，本文提出了混合编码策略，即二进制和实数混合编码、整数和实数混合编码。 |
| 2. | 2 . analyze two kinds of coding strategy and give some feathers of the coding method which can be used to analyze the search ability of ga operators . 3
编码策略是设计遗传算法的一个重要步骤，编码也成为遗传算法应用中的首要问题，因而建立完善的编码方面的理论指导是必要的。 |
| 3. | In our work , we use an object oriented feature - based coding strategy in the following two applications : the simulation for the human ' s letters identified experiment and the data analysis of the seawater ' s quality
我们应用面向对象的特征编码成功地将art应用于人的英文26个字母认知识别实验的仿真与海域水质数据的分析中。 |
| 4. | During solving the problem , presents a different code strategy from other general ones , discusses some important factors that influence the algorithm characteristics and gets the ranges of the parameters b y experiments
最后，将改进的免疫遗传算法应用于tsp这一典型的组合优化问题，提出与以往不同的编码方案，通过实验，确定了算法中参数的取值范围。 |
| 5. | The research contents can be outlined as bellow : ( 1 ) it has analyzed the basic principle and characteristics of ga and investigated the ga coding strategy and its operators in detail
论文主要研究工作和取得成果如下: 1 .研究遗传算法的基本原理及其优缺点,了解其广泛的应用领域,特别是在电力系统的应用情况,并且详细地分析了遗传算法的编码策略与操作算子。 |
| 6. | The mathematical models of topology and size optimization of trusses are given firstly , and then a co - evolution mechanism for optimization of both models , including coding strategies and the construction of fitness functions , is described
先给出桁架拓扑和尺寸优化的数学模型，再对协同演化的机理进行说明，给出算法在桁架问题上实现的编码策略、适应值函数构造等方法。 |
| 7. | As core searching algorithm , genetic algorithm is applied to generate software structural test case . to achieve higher performance , such issues as coding strategy , evaluation function construction and instrumentation are discussed in detail . in particular , much emphasis is put on how to improve the genetic algorithm operator which has a significant influence on the algorithm efficiency
该技术采用遗传算法作为核心搜索算法来生成软件结构测试用例，其中讨论了编码策略、评价函数构造及插装等问题的解决方案，并重点说明了如何对遗传算子进行改进，使算法在解决本问题时更加有效。 |
| 8. | Second , by combining theories of strength of laminate with ga , a new gradient free optimization method with new code strategy is discussed . the representation itself does not change the nature of the problem , but effects the searching efficiency of the algorithm . so the representation of the parameters to be optimized is a very important factor and the new code strategy is also easy used with crossover operator and variation operator in ga applications
其次，本文根据层合板优化设计的具体问题提出了一种符号编码方式，虽然优化参数的基因编码表达方式并不能改变优化问题的本质，但是不同的编码表达方式对于遗传算法搜索的效率和最终的优化结果有着重要的影响，因此优化参数的基因编码表达是遗传算法应用于工程问题中非常关键的一步。 |
