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基本遗传算法 meaning in English

simple genetic algorithm sga

Examples

  1. In the fourth chapter , on the basis of definition of the mathematic model of pumping station in dispatching , and considering the task of dispatching , the author choose genetic algorithm to settle the problem
    第四章中,首先建立系统的数学模型,针对优化调度的任务要求,选用了遗传算法。而后,详细讨论了基本遗传算法的实现,分析了基本遗传算法的缺陷并给出改进的方法。
  2. The basal genetic algorithm bears only cross - over operator and mutation operator which makes it has the weak point in the search ability , thus the prematurity often occur and the result often converge to the vicinity of the real optimal point
    基本遗传算法仅有交叉算子和变异算子,因而局部搜索能力不强,容易出现种群早熟,进化结束时往往收敛到最优点附近而达不到全局最优点。
  3. Because no literature discusses that how to confirm the appropriate population size , this paper discusses how the population size affects ga ' s optimal course based on three examples . this paper confirms the better population size
    由于没有这方面相关的文献资料,本文还针对群体规模对基本遗传算法的优化计算影响的问题结合三个算例进行了尝试性的对比计算,确定了较佳的群体规模。
  4. This paper starts with the basic theory of genetic algorithms . then , some modification methods are advanced and some convergence proofs made , aiming at the problem that the probability of simple genetic algorithm ( sga ) converged to optimal solution is less than 1
    本文从遗传算法的基本理论入手,针对基本遗传算法( sga )不以概率1收敛于最优解的问题,提出了一些改进方法并对其收敛性进行证明。
  5. After the characters , development , application and the foundational theory of genetic algorithm being introduced , the simple genetic algorithm is improved on in this thesis aiming at its application limitation . the improving work is as follows
    在对遗传算法的特点、发展过程、应用领域以及其理论基础介绍之后,本文针对基本遗传算法的应用存在的局限性,对其进行改进,主要包括以下几方面的工作。
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