Kagan Tumer & David Wolpert 
Collectives and the Design of Complex Systems [PDF ebook] 

支持

Many complex systems found in nature can be viewed as function optimizers. In particular, they can be viewed as such optimizers of functions in extremely high- dimensional spaces. Given the difficulty of performing such high-dimensional op- timization with modern computers, there has been a lot of exploration of computa- tional algorithms that try to emulate those naturally-occurring function optimizers. Examples include simulated annealing (SA [15, 18]), genetic algorithms (GAs) and evolutionary computation [2, 3, 9, 11, 20-22, 24, 28]. The ultimate goal of this work is an algorithm that can, for any provided high-dimensional function, come close to extremizing that function. Particularly desirable would be such an algorithm that works in an adaptive and robust manner, without any explicit knowledge of the form of the function being optimized. In particular, such an algorithm could be used for distributed adaptive control—one of the most important tasks engineers will face in the future, when the systems they design will be massively distributed and horribly messy congeries ofcomputational systems.

€58.04
支付方式
购买此电子书可免费获赠一本!
语言 英语 ● 格式 PDF ● ISBN 9781441989093 ● 编辑 Kagan Tumer & David Wolpert ● 出版者 Springer New York ● 发布时间 2012 ● 下载 3 时 ● 货币 EUR ● ID 4709826 ● 复制保护 Adobe DRM
需要具备DRM功能的电子书阅读器

来自同一作者的更多电子书 / 编辑

90,364 此类电子书