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Arrangement Optimization of Instruments Based on Genetic Algorithm

Journal Advanced Materials Research (Volumes 97 - 101)
Volume Manufacturing Science and Engineering I
Edited by Zhengyi Jiang and Chunliang Zhang
Pages 3622-3626
DOI 10.4028/www.scientific.net/AMR.97-101.3622
Citation Sheng Yuan Yan et al., 2010, Advanced Materials Research, 97-101, 3622
Online since March, 2010
Authors Sheng Yuan Yan, Kun Yu, Zhi Jian Zhang, Min Jun Peng
Keywords Arrangement, Fitness Value, Genetic Algorithm (GA), Instrument, Optimization
Abstract

The instruments arrangement of human-machine interface can directly influence the operation and efficiency of human-machine interaction in system. A novel instruments arrangement optimization method based on genetic algorithm was proposed. The biology heredity and evolution mode of genetic algorithm was used to search for the optimal or satisfying arrangement solution. Fitness function was constructed based on the principles of importance, frequency of use, relevance and operational sequence. Literal permutation encoding method was applied to represent the instruments arrangement. The optimization preserving strategy was used to enhance the search speed and to enlarge the width and depth of solution space. Finally, a case of instruments arrangement optimization proves that the arrangement optimization method is effective.

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