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.
CITATION STYLE
Kalyani, R. (2015). Application of Multi-Core Parallel Programming to a Combination of Ant Colony Optimization and Genetic Algorithm. Indian Journal of Science and Technology, 8(S2), 138. https://doi.org/10.17485/ijst/2015/v8is2/59091
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