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MPI-based parallel ant colony algorithm

Author: HuZuo
Tutor: JiangZuo
School: Kunming University of Science and Technology
Course: System Analysis and Integration
Keywords: Ant Colony Algorithm Parallel Computing MPI Messaging
CLC: TP301.6
Type: Master's thesis
Year: 2011
Downloads: 78
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Ant (ACO) algorithm is a novel meta-heuristic algorithms. The algorithm has strong robustness , excellent distributed computer system , easy to combine with other methods , etc., have been successfully resolved , including the traveling salesman (TSP) problems , including many combinatorial optimization problems . High-performance computing technology MPI parallel programming model is applied to a relatively well-known standard message passing parallel environment . MPICH MPI standard is a fully realized , but also the widest range of applications of a parallel and distributed environment . By MPICH can be very easy to connect the existing computer set up high-performance cluster computing clusters . Since ant colony algorithm has a natural parallelism, suitable for parallel computing . In this paper, based on MPI (Mes sage Passing Interface) to build a PC cluster environment to achieve parallel ant colony algorithm related issues, choose a suitable cluster systems as well as the characteristics of the parallel ant colony optimization strategies , and successfully applied to solve the TSP. Firstly, the discussion on parallel computing , explains the parallel computer architecture, theory of parallel programming and parallel algorithms. Then introduced the current popular programming environment for parallel MPI message passing standard and the basic functions , with the MPICH build a minicomputer -based Windows operating system group system . And details of the ant colony algorithm and ant colony algorithm based on MPI parallel programming , the use of good design one kind of coarse-grained parallel ant colony algorithm for TSP problem analysis and program design for the complete program. Finally , the paper has 30 distribution points TSP problem using standard ant colony algorithm and parallel ant colony algorithm was realized , the result of its output speed ratio based on the comparison and analysis , although there is a lot to improve the experimental procedure place, but the overall result is satisfactory.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > General issues > Theories, methods > Algorithm Theory
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