Abstract
The paper is devoted to the optimization of energy of carbon based atomic structure with use of the memetic algorithm. The graphene like atoms structure is coded into floating point genes and underwent evolutionary changes. The global optimization algorithm is supported by local gradient based improvement of chromosomes. The optimization problem is solved with the use of Intel PHI (Intel Many Integrated Core Architecture – Intel MIC). The example of optimization and speedup measurement for parallel optimization are given in the paper.
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CITATION STYLE
Kús, W., Mrozek, A., & Burczyński, T. (2016). Memetic optimization of graphene-like materials on intel PHI coprocessor. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9692, pp. 401–410). Springer Verlag. https://doi.org/10.1007/978-3-319-39378-0_35
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