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. It is component-based, so that if you don't find the class you need in it, it is very easy to subclass existing abstract or concrete class.
DREAM (The Distributed Resource Evolutionary Algorithm Machine) seeks to provide the technology and software infrastructure necessary to support the next generation of evolving infohabitants in a way that makes that infrastructure universal, open, and scalable. It will use existing hardware infrastructure in a much more efficient manner, by utilising otherwise-unused CPU time. It will allow infohabitants to co-operate, communicate, negotiate and trade; and emergent behaviour is expected to result. It is expected that there will be an emergent economy that results from the provision and use of CPU cycles by infohabitants and their owners. The DREAM infrastructure will be evaluated with new work on distributed data mining, distributed scheduling, and the modelling of economic and social behaviour.
Algorithm::Evolutionary is a flexible set of classes for doing evolutionary computation in Perl, integrated with XML for evolutionary algorithm description. So far, it contains classes for doing string, tree, and vector array-based evolutionary computation, several variation operators, and simple population-level algorithms. It has been distributed algorithms using SOAP, and integrated with the DBI and HTML::Mason libraries. It contains an XML dialect for definition of evolutionary algorithms, called EvoSpec; experiments defined using Algorithm::Evolutionary can be completely serialized/deserialized using this language.