References on Evolutionary Computing

All reference materials will be posted here.

Evolutionary Computing In General

• http://mitpress.mit.edu/catalog/item/default.asp?ttype=4&tid=25, EC journal
• http://www.fmi.uni-stuttgart.de/fk/evolalg/eabib.html, Bibliography on EC
• Genetic Algorithms and Artificial Life Resources links from Carleton University in Canada

Genetic Algorithms

• DUMEC.tgz, source code for the really lousy example GAs (and other search techniques) used in class to introduce the concepts
• http://www.aic.nrl.navy.mil/galist/src/ source code for many more-respectable GAs
• http://www.aic.nrl.navy.mil/galist/, the GA Archives
• http://www-illigal.ge.uiuc.edu/, a GA site at UIUC
• Memetic Algorithms' Home Page discussing the idea of replacing genetic mutation with heuristics such as simulated annealing
• Here's a new example tar of a C fixed-size multi-word set library which you may use for whatever you wish....

Genetic Programming

• Here's an example tar of simple GP code.... The same thing done using Automatically Defined Functions (ADFs, in the style that Koza recommends) is the C source code adf.c. Note that the problem domain handled by this GP system is far too small to benefit from use of ADFs; in fact, use of ADFs slows convergence. Koza's style of ADFs work best when you use them to subdivide the problem space by applying different operators for the different ADFs, thus suggesting the division of the the problem without specifying how the subdivided portions will work.
• http://www.genetic-programming.org/, Koza's GP site
• An alternative data structure for GP; basically, the flattened form but without requiring syntactical correctness
• PADO: A New Learning Architecture for Object Recognition, which uses a "Library" very similar to the function pool I discussed as my ADF structure

Tricks Of The Trade

• a nice overview of Gray codes in GAs
  (but use the conversion algorithm on the magic algorithms page)
• http://aggregate.org/MAGIC/, aggregate.org's magic algorithms page
• Hacker's Delight describes the book by this title and provides materials very similar to those of the magic algorithms site

Specific Applications

• Genetic Scheduling of Router Operations for the MasPar MP-1 and MP-2, one of Hank's first GAs
• Adaptive Genetic Algorithm: Scheduling Hard Real-Time Control Programs With Arbitrary Constraints, one of Hank's first GAs for code scheduling
• Neural Network Using Genetic Algorithms is a very simple example (including C code) using a GA to build a neural network classifier

Course Stuff

More stuff will be here soon....