基本遗传算法存在着收敛速度慢、易陷入局部最优等缺陷。
Simple genetic algorithms get local optimal solution too easily and converge slowly.
为了高效可靠地获得全局最优解，对基本遗传算法进行了改进。
In order to obtain the global solution efficiently and robustly, the basic GA is improved.
在这一章中，探讨了遗传算法的基本思想、原理和基本遗传算法。
In this chapter, we study and discuss the basic thoughts, principles and Simple Genetic Algorithms.
在基本遗传算法和加速遗传算法的基础上，提出可考虑隔代遗传的广义遗传算法；
On the basis of Simple Genetic Algorithms (SGA) and Accelerating Genetic Algorithms (AGA), Generalized Genetic Algorithms (GGA) was created, which can consider ancestor's genes.
本文在分析基本遗传算法的原理与存在问题的基础上，提出了一种广义自适应遗传算法。
On the basis of analyzing the principles of basic genetic algorithms and discussing its existing problems, this paper promotes generalized self adaptive genetic algorithms.
分析了如何将遗传算法用于自由飞条件下的飞行冲突探测与解脱问题，并介绍了基本遗传算法的原理和运算步骤。
It also analyses how to use genetic algorithms to free flight conflict detection and solving. The principles of simple genetic algorithms (SGA) and its operation steps are introduced briefly.
同时通过具体的查询实例说明其左深度连接树和浓密连接树的染色体编码方法，并基于该编码方式进一步确定了基本遗传算法中其它的七个变元。
The methods of chromosome coding on left-deep join tree and bushy join tree are showed by query instances, and further other seven parameters of basic genetic algorithms are determined by t…
针对这些问题，对基本遗传算法引入了邻域操作、自适应策略和混沌优化等多种改进策略，研究设计了一种有机结合各种改进策略的改进遗传算法流程。
To avoid these problems, some methods including adjacent-domain operations, adaptability and chaos have been taken into consideration in this paper to improve the capability of the algorithm.
本文介绍了遗传算法的基本概念、工作原理和步骤，综述了它在化学化工领域的应用。
The basic concept and mechanism of genetic algorithms were introduced, their applications in chemistry and chemical engineering were reviewed.
探讨了遗传算法优化PID参数的基本方法，着重研究了改进遗传算法的PID控制优化。
Also this paper discusses the basic method of ant colony algorithm to optimize PID control parameter.
最后用一个简单的实例说明了使用遗传算法生成基本数据类型测试数据的过程。
At last we use a simple example to show the process of test data of basic type generation with GA.
最后用一个简单的实例说明了使用遗传算法生成基本数据类型测试数据的过程。
At last we use a simple example to show the process of test data of basic type generation with GA.
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