OPAC Alternatives
OPAC is described as 'Parallel Cooperative Optimization' and is an app. There are seven alternatives to OPAC for Windows and Linux. The best OPAC alternative is MOEA Framework, which is both free and Open Source. Other great apps like OPAC are modeFRONTIER, Open BEAGLE, PardisEO and ParEGO.
MOEA Framework
Is this is a good alternative?YesNo7 MOEA Framework alternatives- Free • Open Source
- Windows
- Linux
MOEA Framework, a Java library for multiobjective evolutionary algorithms.
- - MOEA Framework is the most popular Windows & Linux alternative to OPAC.
- - MOEA Framework is the most popular Open Source & free alternative to OPAC.
modeFRONTIER
Is this is a good alternative?YesNo6 modeFRONTIER alternatives- Paid • Proprietary
- Windows
- Linux
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 in-house
- - modeFRONTIER is the most popular commercial alternative to OPAC.
Open BEAGLE
Is this is a good alternative?YesNo7 Open BEAGLE alternatives- Free • Open Source
- Windows
- Linux
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...
(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 modules:
an algorithm for multiobjective optimization of expensive functions.
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...
moptipy Features