Application of Multi-Core Parallel Programming to a Combination of Ant Colony Optimization and Genetic Algorithm

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@Article{Kalyani:2015:IJST,
  author =       "Rishita Kalyani",
  title =        "Application of Multi-Core Parallel Programming to a
                 Combination of Ant Colony Optimization and Genetic
                 Algorithm",
  journal =      "Indian Journal of Science and Technology",
  year =         "2015",
  volume =       "8",
  number =       "S2",
  keywords =     "genetic algorithms, genetic programming, ant colony
                 optimisation, genetic algorithm, multi-core, parallel
                 programming, travelling salesmen problem",
  ISSN =         "0974 -5645",
  URL =          "http://www.indjst.org/index.php/indjst/article/view/59091",
  DOI =          "doi:10.17485/ijst/2015/v8iS2/59091",
  abstract =     "This Paper will deal with a combination of Ant Colony
                 and Genetic Programming Algorithm to optimise
                 Travelling Salesmen problem (NP-Hard). However, the
                 complexity of the algorithm requires considerable
                 computational time and resources. Parallel
                 implementation can reduce the computational time. In
                 this paper, emphasis in the parallelising section is
                 given to Multi-core architecture and Multi-Processor
                 Systems which is developed and used almost everywhere
                 today and hence, multi-core parallelization to the
                 combination of algorithm is achieved by OpenMP library
                 by Intel Corporation.",
  notes =        "See also http://arxiv.org/abs/1411.4297
                 \cite{oai:arXiv.org:1411.4297} Affiliation: VIT
                 University, Chennai, India

                 Also known as \cite{IJST59091}",
}

Genetic Programming entries for Rishita Kalyani

Citations