EO EO is a templates-based, ANSI-C++ compliant evolutionary computation library. It contains classes for any kind of evolutionary computation (specially genetic algorithms) you might come up to, except maybe genetic programming. Here are its features Chromosomes: Can be defined by the user, by subclassing the EO class; binary, floating point and string are provided. All algorithms defined work on all kind of chromosomes. Genetic operators: Can be defined by the user, by subclassing the EOOp class. Operators can be unary, binary or n-ary (orgy) operators. Several floating point, bitstring, and generic operators are defined, like mutation, crossover, and things like that. Selection/elimination procedure: Can be defined by the user, by subclassing the EOSelect class. Steady-State and rank-based are provided. Reproduction procedure: Can be user defined (I'll skip that from now on, but everything can be user-defined) by subclassing EOBreed. Random, lottery, and rank-based are provided. Termination conditions: (user-definable) fitness and generation-based. Algorithms: Easy Ga, SimpleGA and simulated annealing with user-definable cooling schedule. Some utilities: command-line parsing, random-number generations

Current Version:   0.8.7 License Type:   Free for non-commercial use

Home Site: http://geneura.ugr.es/~jmerelo/EO.html Source Code Availability:   Yes Available Binary Packages: Debian Package:   No RedHat RPM Package:   No Other Packages:   No Targeted Platforms: Tested on Linux/egcs 1.0.2, Irix, Solaris, Windows 95/NT Software/Hardware Requirements: C++ compiler

Other Links: None Mailing Lists/USENET News Groups: See Home Site for details User Comments: None See A Screen Shot? (Not Yet)

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