Simple genetic algorithms get local optimal solution too easily and converge slowly.
基本遗传算法存在着收敛速度慢、易陷入局部最优等缺陷。
In this chapter, we study and discuss the basic thoughts, principles and Simple Genetic Algorithms.
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。
According to the limitations of simple genetic algorithms, design genetic algorithms based on particle swarm.
针对简单遗传算法的局限性，提出了基于粒子群算法的遗传算法。
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.
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；
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.
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。
Takes a simple question for example to discuss how to apply the genetic algorithms to solve the multi-objectives and fuzzy problems.
就一个简单算例，着重探讨如何将遗传算法应用于解决多目标模糊问题。
In this paper, Genetic Algorithms (GA) for VRP with simple conditions was introduced and cross operator in GA was improved. These researches made full preparation for us to study PDPTW.
本文首先介绍了遗传算法在解决简单约束车辆路径问题上的应用，改进了交叉算子，为研究有时间窗装卸问题的遗传算法作了充分准备。
Genetic algorithms is used for optimization cutting of lattice structure members. Some project examples indicate that this method is simple and practicable and effective.
将遗传算法应用于网格结构杆件下料优化，经过工程实例分析表明。该方法简单易行，且效果明显。
Both genetic algorithms and ev0lutionary programming are applied to the fatigue reliability-based optimum design of a simple off shore platform.
分别用进化计算中的遗传算法和进化规划进行了简易海洋平台基于非线性疲劳损伤模型的疲劳可靠性优化设计。
Both genetic algorithms and ev0lutionary programming are applied to the fatigue reliability-based optimum design of a simple off shore platform.
分别用进化计算中的遗传算法和进化规划进行了简易海洋平台基于非线性疲劳损伤模型的疲劳可靠性优化设计。
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