moptipy is described as 'Library with implementations of metaheuristic optimization methods in Python 3 that also offers an environment for replicable experiments. It is structured with performance, ease-of-use, and generality in mind, but also based on an educational and research' and is an app in the development category. There are six alternatives to moptipy for Windows and Linux. The best moptipy alternative is PardisEO, which is both free and Open Source. Other great apps like moptipy are Open BEAGLE, MOEA Framework, ParEGO and OPAC.
(PARallel and DIStributed Evolving Objects) is a C++ white-box object-oriented framework dedicated to the flexible design of metaheuristics. Based on EO, a template-based ANSI-C++ compliant evolutionary computation library, it is composed of four...
Open BEAGLE is a C++ Evolutionary Computation (EC) framework. It provides an high-level software environment to do any kind of EC, with support for tree-based genetic programming; bit string, integer-valued vector, and real-valued vector genetic algorithms; and evolution...
PaGMO offers a generalization of the island model paradigm able parallelize global and local optimization algorithms using multiple threads/processes. It provides a set of C++ classes and their exposition in Python language as to allow the user to solve, in a parallel fashion...