Top Document: FAQ: comp.ai.genetic part 4/6 (A Guide to Frequently Asked Questions) Previous Document: News Headers Next Document: Q10.1: Suitable background reading for beginners? See reader questions & answers on this topic! - Help others by sharing your knowledge There are many sources of introductory material on evolutionary algorithms: background books (see Q10.1), textbooks (see Q10.2), classical works (see Q10.3), journal articles (see Q10.4), technical reports (see Q10.5), more advanced literature (see Q10.6), biological background reading (see Q10.7), bibliography collections (see Q10.8), videos (see Q10.9) and CD-ROMs (Q10.10). Information on how to get dissertations is also given below (see Q10.11). Conference proceedings (see Q12) are also a good source of up-to-date (and sometimes introductory) material. User Contributions:Comment about this article, ask questions, or add new information about this topic:Top Document: FAQ: comp.ai.genetic part 4/6 (A Guide to Frequently Asked Questions) Previous Document: News Headers Next Document: Q10.1: Suitable background reading for beginners? Part1 - Part2 - Part3 - Part4 - Part5 - Part6 - Single Page [ Usenet FAQs | Web FAQs | Documents | RFC Index ] Send corrections/additions to the FAQ Maintainer: David.Beasley@cs.cf.ac.uk (David Beasley)
Last Update March 27 2014 @ 02:11 PM
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