jenetics使用,jenetics Crack版
一个基于 Java 的库，有助于操纵进化遗传算法，这是人工智能领域研究的一个关键问题
Jenetics是专门开发的一个基于 Java 的面向对象的遗传算法库，但它仍然可以清楚地区分包括的几个概念，即基因型、种群、基因、染色体和适应度函数。jenetics使用与该领域中存在的 GA 实现不同，该库依赖于 Evolution 流的概念来执行这些步骤。由于进化算法源于生物学，所涉及的机制包括类似的步骤，例如重组、选择、突变或繁殖。
在jenetics使用工具最值得注意的功能中，您可以算上无摩擦最小化和多线程。就第一个而言，值得一提的是，您可以轻松地最小化或最大化适应度函数，而无需对其进行调整。正如您可能暗示的那样，多线程意味着可以并行执行进化步骤。
Jenetics is a Java based object-oriented genetic algorithm library specially developed, but it can still clearly distinguish several concepts, namely genotype, population, gene, chromosome and fitness function. Unlike GA implementations that exist in this field, the library relies on the concept of evolution flow to perform these steps. Since evolutionary algorithms originate from biology, the mechanisms involved include similar steps, such as recombination, selection, mutation or reproduction.
Among the most notable features of the tool, you can count frictionless minimization and multithreading. For the first, it is worth mentioning that you can easily minimize or maximize the fitness function without having to adjust it. As you might imply, multithreading means that evolutionary steps can be performed in parallel.
根据开发人员的说法，jenetics使用库的设计考虑了多目标优化，因此，jenetics使用模块带有各种类，可以解决这些类型的问题。同时，它是无依赖的，并且由于它不需要第三方库来工作，因此无需担心其他库可能出现的潜在不匹配和类加载问题。
