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Parallel particle swarm optimization algorithm based on the sort of technical applications

Author: LiuQiang
Tutor: JiangZuo
School: Kunming University of Science and Technology
Course: System Analysis and Integration
Keywords: Parallel Computing MPI Particle Swarm Optimization Sequence
CLC: TP301.6
Type: Master's thesis
Year: 2011
Downloads: 45
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Supercomputers (HPC) is a computer in the most powerful, fastest computing speed, storage capacity, the largest class of computer. Multi-national high-tech fields for research and cutting-edge technology, is a country's economic and technological power of expression, but also to promote science and technology and economic development, social progress and national security an important tool. Has now become the world competing for the strategic high ground. Parallel Computing (Parallel Computing) and high-performance computing (High Performance Computing) is a synonym, because any parallel high-performance computing technology are inseparable. How to make a high-performance parallel computer system fully in the national economy, scientific research and social role to play, in fact imperative, but also attracted many researchers attention. MPI (Message Passing Interface) is the most important one based on message passing parallel programming platform for message passing parallel programming has become the standard platform is the mainstream parallel programming tools. MPICH is one of the most important implementations of MPI, MPICH in the LAN connection via existing computer, composed of high-performance parallel computers, large-scale optimization problems for complex calculations. PSO (Particle Swarm Optimization, PSO) derived from human studies on the behavior of birds of prey. Is a community-based intelligent algorithms and optimization tools, and in their own algorithms have inherent parallelism. But in dealing with large amounts of data and large-scale complex optimization problems, PSO algorithm still requires a lot of processing time, while the parallel PSO algorithm can significantly reduce the time and simplify problem solving problem solving. Therefore, the parallel PSO algorithm has also been a lot of researchers focus on. Sorting technique is often used in data processing in a class issue, but also frequently used inside the computer system of an operation. Sort can be simply understood as: a group of unordered sequence into an ordered sequence. Sort usually consume a lot of computing time, while the parallel particle swarm optimization algorithm into sorting algorithm, can effectively improve the solution time. In this paper, building MPI-based computer cluster environment, to achieve a parallel particle swarm optimization algorithm based on quick sort, rank sorting algorithm. And through the serial sorting algorithm and particle swarm optimization algorithm based on parallel sorting algorithm to solve time, solve complex, parallel speedup compared with other aspects of the analysis shows the parallel particle swarm optimization algorithm applied in a practical sorting algorithm and effectiveness.

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