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优化

Optimisation
课程网址: http://videolectures.net/sscs06_bennett_o/  
主讲教师: Adam Prügel-Bennett
开课单位: 南安普敦大学
开课时间: 2007-02-25
课程语种: 英语
中文简介:
达尔文为我们所看到的周围生物的复杂性提供了第一个机械的解释已经有一个半世纪了。只有在近30年左右的时间里,计算系统才被用来尝试对复杂的人工问题进行自然选择。虽然已经取得了一些成功,但是人工进化系统的复杂性与生物学中容易发现的复杂性相比,仍然有很长的差距。为什么会这样?我们对自然进化的理解是否遗漏了一些重要的东西?我们如何改进我们的人工问题解决方法,使它们在大型复杂问题上更好地工作?
课程简介: It has been a century and a half since Darwin provided the first mechanistic explanation for the complexity of the living things we see around us. Only in the last 30 years or so have computational systems been employed to try out natural selection on complex artificial problems. There have been some successes, but the complexity of artificially evolved systems remains a very long way short of the complexity that is easy to find in biology. Why is this? Is our understanding of natural evolution missing something important? How can we improve our artificial problem solving methods to make them work better on large-scale complex problems?
关 键 词: 科学; 复杂性科学; 离散搜索空间
课程来源: 视频讲座网
最后编审: 2020-06-03:毛岱琦(课程编辑志愿者)
阅读次数: 62