图书馆努力优化问题的启发式算法的并行

Project Description HeO ( He uristic O ptimization) is a cross-platform library that provides various parallel metaheuristic algorithms for hard optimization problems. The library is written in C++ using modern programming, metaprogramming and parallel computing techniques. The main goal of the project is to provide the researchers with the state-of-the-art and easy-to-use software tool that can be applied to a wide range of optimization problems. Key Features The source code is platform-independent and can be used on Windows and Linux systems without any alterations. x86 and x64 architectures are supported. All optimization methods are implemented as algorithmic skeletons (solvers) that can be applied to different optimization problems. Solvers are hybridization

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heo1.1.src
contrib
heo1.1.src