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- Simple Genetic Algorithm(SGA) has some disadvantages in the multi-peak functions optimization.So does the Quantum Genetic Algorithm(QGA). 摘要 传统遗传算法(SGA)在处理多峰值函数优化问题中存在局部收敛性的问题,最初的量子遗传算法(QGA)也存在这一问题。
- Stud Genetic Algorithm(SGA) 螺栓遗传算法
- First, brief introduction of GA is given and pseudo code description of simple genetic algorithm (SGA) is presented. 首先简要介绍遗传算法并给出了基本遗传算法(SGA)的伪代码描述;
- A eugenic evolution strategy was proposed to improve the searching efficiency of the conventional simple genetic algorithm (SGA). 针对常规遗传算法全局寻优效率偏低的弱点,提出了一种优进策略,用以改进常规遗传算法。
- The experiment has proved that the solving quality and efficiency are improved markedly with the modified genetic algorithm in comparison with the SGA. 实验结果表明,改进的遗传算法在精度和收敛速度上都较SGA有较大程度的提高。
- A improved hybrid genetic algorithm (HGA) is proposed to overcome premature convergence and increase the optimize pace of SGA . 3.;为克服简单遗传算法容易早熟和收敛速度慢的缺陷;在简单遗传算法基础上提出一种改进的混合遗传算法。
- In order to improve SGA's optimization ability and to prolong its searching process, a new genetic algorithm based on a completely sell-adaptive strategy is put forward. 摘要为改善标准遗传算法的优化性能,延长种群搜索过程,提出了完全自适应策略的遗传算法。
- So what is the genetic algorithm? 那么什么是遗传算法呢?
- A real zooming genetic algorithm is put forth. 进而提出基于实数编码的变焦遗传算法。
- In order to overcome these troubles, a composite particle swarm optimization (CPSO) using simple genetic algorithm (SGA) to optimize the control parameters was proposed. 今提出引入遗传算法,在粒子群算法的搜索过程中,逐代优选参数,包括惯性权值,加速常数,以此构建为复合粒子群优化算法。
- Real examples show that AVSSGA is a common solution for nonlinear equation, compared with simple genetic algorithm (SGA).It can double computing efficiency. 实例计算与发动机仿真结果说明:所设计的变搜索域遗传算法可作为通用的非线性方程解法,相比较于简单遗传算法,能成倍提高计算效率;
- Besides the ability of stochastic global searching of Simple Genetic Algorithm(SGA),the algorithm involves niche technology and the use of inverse operators. 该算法在基本遗传算法随机搜索能力基础上加入小生境技术,使用了倒位算子,实现简单,求解快速。
- A new method based upon Refined Genetic Algorithm (RGA), which global optimum is easily converged with, for the fault section estimation problem is presented. There are some new operators in RGA and basic operations of RGA are different from those of SGA. 本文研究了RGA在电力系统故障诊断中的应用,这种方法可以有效地求得全局最优解,与SGA相比RGA的遗传算子中包括了一些新的算子,基本算子的实现方式也不一样。
- A genetic algorithm with a dual fitness function was proposed. 摘要提出一个具有对偶适应度函数的遗传算法。
- Test result indicates the advantage of genetic algorithm. 试验结果证实了采用遗传算法求解全局优化问题的优越性
- On the basis of Simple Genetic Algorithms (SGA), a series of improvements have been put forward. 在传统遗传算法的基础上,提出了一系列的改进策略。
- Balmer formula is reconstructed based on genetic algorithm. 基于遗传算法构建了巴耳末公式 .
- Section for the link to the Genetic Algorithms FAQ. 中遗传算法常见问题解答的链接部分。
- Genetic algorithm is a constrained stochastic optimization method. 遗传算法是一种约束随机优化方法。
- Holland created the genetic algorithms. 霍兰是遗传算法发明人。