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A parallel genetic algorithm for image restoration

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4 Author(s)
Yen-wei Chen ; Dept. of Electr. & Electron. Eng., Ryukyus Univ., Okinawa, Japan ; Nakao, Zensho ; Fang, X. ; Tamura, S.

A parallel genetic algorithm based on the island model for image restoration is presented. The algorithm divides a large population into smaller subpopulations and executes the main loop of the traditional genetic algorithm on each processor with its own subpopulation in parallel. Its performance is evaluated in a multi-workstation environment. The simulation results show that the algorithm achieves a linear speed-up with the number of processors. The parallel algorithm is also shown to have better performance on image restoration than the traditional genetic algorithm

Published in:

Pattern Recognition, 1996., Proceedings of the 13th International Conference on  (Volume:4 )

Date of Conference:

25-29 Aug 1996