UC知道将下面的英文翻译成中文7
来源：百度知道 编辑：UC知道 时间：2024/09/23 11:08:20
An excellent starting place for information is The Genetic Algorithms Archive(3). It contains many links to public domain software, to research conducted by leading experts in the field and other useful pointers.
Until recently the majority of GA software used was primarily available in the public domain or developed by users specifically for a problem. However, with increased computer power and further GA enhancements which have been proposed, more commercial systems are becoming available. One of the leading commercial software packages devoted to GA is the Microsoft Excel add-in EVOLVER (currently version 4) - see Pascoe, 1996 for a review of EVOLVER V3 compared to a traditional nonlinear programming optimiser. The significant advantage of such a package is the familiar, user-friendly interface which the developers claim requires no knowledge of computer programming or GA theory to use. However, in a similar way to using SOLVER for linear programming, users who know little abou
Until recently the majority of GA software used was primarily available in the public domain or developed by users specifically for a problem. However, with increased computer power and further GA enhancements which have been proposed, more commercial systems are becoming available. One of the leading commercial software packages devoted to GA is the Microsoft Excel add-in EVOLVER (currently version 4) - see Pascoe, 1996 for a review of EVOLVER V3 compared to a traditional nonlinear programming optimiser. The significant advantage of such a package is the familiar, user-friendly interface which the developers claim requires no knowledge of computer programming or GA theory to use. However, in a similar way to using SOLVER for linear programming, users who know little abou
一个良好的开端地方信息是遗传算法的档案（ 3 ） 。它载有许多链接，公共领域的软件，以领导进行的研究方面的专家和其他有用的线索。
直到最近，大多数的遗传算法软件，主要是供公众查询，或制定专门针对用户的问题。然而，更多的计算机电源和进一步的遗传算法的改进已提出，更多的商业系统正变得可用。一家领先的商业软件用于遗传算法是对Microsoft Excel加载项EVOLVER （目前为第4版） -见帕斯科， 1996年审查EVOLVER v3的比较传统的非线性规划优化器。的显着优势，这种一揽子方案是熟悉的，用户友好界面的开发者声称无需计算机编程知识或遗传理论来使用。但是，以同样的方式使用求解线性规划，使用者谁不甚了解，包括主题领域往往会产生严重的结构模型。