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The creative use of genetic algorithms. Computers evolve into theartistic realm

机译:遗传算法的创造性运用。计算机发展成为艺术领域

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Electrical engineers play an important role in developing newntools to enhance the creative process. One of the most creative toolsnever developed was the computer. Anyone can create art, music, ornliterature using a computer and the many software tools on the market.nOf course, not all creations are equal. Just because the computer spitsnout the creation doesn't mean it's good. Spelling and grammar checkersnmake many documents more readable but these tools certainly don'tntransform them into works of art. Can a computer actually improve a worknof art? Improving is synonymous with optimizing. Optimization impliesnthat some inputs to an experiment, model or mathematical function can benvaried so that the outcome or result is the best it can be. What betternoptimization tool to use for the creative process than one that is basednon natural selection-the genetic algorithm (GA). Genetic algorithmsnmimic nature by combining genetics and natural selection on a computernto find optimum solutions. They have proven useful in areas ranging fromnstock market analysis to satellite design. These algorithms arenrelatively easy to understand. To demonstrate their power andnversatility for enhancing creativity, we use a genetic algorithm toncreate art and music with the help of human input
机译:电气工程师在开发新工具以增强创意过程中起着重要作用。从未开发过的最具创造力的工具之一是计算机。任何人都可以使用计算机和市场上的许多软件工具来创作艺术,音乐或文学。当然,并非所有创作都是平等的。仅仅因为计算机吐出了创造物并不意味着它是好的。拼写检查和语法检查器使许多文档更易读,但是这些工具当然不会将它们转换为艺术品。计算机真的可以改善艺术品吗?改善与优化同义。优化意味着对实验,模型或数学函数的某些输入可以不变,以便结果或结果是最好的。与基于非自然选择的遗传算法(GA)相比,用于创造过程的最佳优化工具是什么。遗传算法通过将遗传学和自然选择结合在计算机上以找到最佳解决方案,从而实现自然万物。实践证明,它们在从股票市场分析到卫星设计等各个领域都非常有用。这些算法相对容易理解。为了展示其增强创造力的能力和多功能性,我们使用了一种遗传算法,借助人工输入来创造艺术和音乐

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