Autors: Borovska, P. I., Gancheva, V. S., Asenov E.
Title: Exploring the efficiency of parallel bacteria foraging metaheuristics for job shop scheduling problem optimization
Keywords: bacteria foraging metaheuristic

Abstract: This paper suggest a model of parallel computation based on Bacteria Foraging metaheuristics for Job Shop Scheduling optimization problem. The parallel model is verified experimentally by Hybrid (MPI + OpenMP) programming implementations, run on heterogeneous computer cluster. The experimental study comprises parallel performance evaluation, parallel algorithm scalability analysis, profiling and evaluation of solution quality.

References

    Issue

    CompSysTech '11, 2011, Austria, DOI 10.1145/2023607.2023624

    Цитирания (Citation/s):
    1. Rios-Willars Ernesto, Reyes-Acosta Alfredo Valentin, "Exploring the Effects of Attraction and Repulsion Parameters on the Bacterial Foraging Algorithm through Benchmark Functions," WSEAS Transactions on Computer Research, vol. 12, pp. 62-74, 2024, DOI:10.37394/232018.2024.12.5 - 2024 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus