This paper describes the design and implementation of the Parallel Metaheuristics Framework (PMF), a C++ framework for the construction of single and multiobjective metaheuristics utilizing Intel's Threading Building Blocks library to allow easy parallelization of computationally intensive algorithms. The framework demonstrates a generic approach to the construction of metaheuristics, striving to provide a general representation of core operators and concepts, thus allowing users to more easily tailor the system for novel problems. The paper describes the overall implementation of the framework, demonstrates a case study for implementing a simple metaheuristic within the system, and discusses a range of possible enhancements. © 2010 Springer-Verlag.
CITATION STYLE
Garrett, D. (2010). PMF: A multicore-enabled framework for the construction of metaheuristics for single and multiobjective optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6239 LNCS, pp. 351–360). https://doi.org/10.1007/978-3-642-15871-1_36
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