ParEGO Alternatives

(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...

MOEA Framework, a Java library for multiobjective evolutionary algorithms.

OPAC, Parallel Cooperative Optimization.

modeFRONTIER is a multidisciplinary and multi-objective optimization and design environment, written to allow easy coupling to almost any computer aided engineering (CAE) tool, whether commercial or...

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...

moptipy is a 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...