Research of SoPC-based improved genetic algorithm on shortest path

Hang Ruan; Aifeng Ren; Ming Meng; Wei Zhao; Ming Luo

doi:10.1117/12.913373

1 October 2011 Research of SoPC-based improved genetic algorithm on shortest path

Hang Ruan, Aifeng Ren, Ming Meng, Wei Zhao, Ming Luo

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 828553 (2011) https://doi.org/10.1117/12.913373
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

Abstract

The shortest path problem is a classic problem and is unlikely to find an efficient algorithm for solving it directly. It is applied broadly in practice. Thus rapid and effective solving shortest path problem is very important application value in practice. Genetic Algorithm (GA) is a kind of heuristic global optimization search algorithm that simulates the biology evolutionary system. It is resolved efficiently by this improvement Genetic Algorithm. In this paper, a SoPC-based GA framework is proposed .The experiment results show that improved Genetic Algorithm enhances extremely in the same environment.

Citation Download Citation

Hang Ruan, Aifeng Ren, Ming Meng, Wei Zhao, and Ming Luo "Research of SoPC-based improved genetic algorithm on shortest path", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828553 (1 October 2011); https://doi.org/10.1117/12.913373

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