EO is a template-based, ANSI-C++ evolutionary computation library that helps you to write your own stochastic optimization algorithms quickly. Evolutionary algorithms form a family of algorithms inspired by the theory of evolution, and solve various problems. They evolve a set of solutions to a given problem in order to produce the best results. These are stochastic algorithms because they iteratively use random processes. The vast majority of these methods are used to solve optimization problems, and may be also called "metaheuristics". They are also ranked among computational intelligence methods, a domain close to artificial intelligence. With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems, from continuous to combinatorial ones.
Epikscan is a cluster aware, diagnostic script that runs basic health checks and gathers detailed, addressable system information from an RHEL, Scientific Linux, Oracle/OVM2, or CentOS 4, 5, or 6 system. A single archive is created for each host, containing the scan data along with linking information that can be merged with scans from other nodes to produce a cluster oriented report. HTML, text, XML, and SQLite3 database reports can be optionally generated to support both manual and automated fault analysis. The scan and merge process attempts to heuristically identify possible problems with the node or cluster configuration and highlights them in red to speed up the review and resolution process.