WCSE 2017
ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.009

Dynamic Layout Optimization Based on Improved Genetic Algorithm

Yunfang Peng, Lingzhi Fan

Abstract— In order to reduce the total cost of the workshop layout under dynamic environment, a dynamic layout optimization model is established to minimize the cost of material handling and equipment adjustment. An improved genetic algorithm is proposed to solve the model, and the initial population with high fitness is generated to reduce the search time. The effectiveness of the improved genetic algorithm and the accuracy of the model are verified by some numerical examples.

Index Terms— dynamic facility layout optimization, Basic genetic algorithm, improved genetic algorithm

Yunfang Peng, Lingzhi Fan
School of management, Shanghai University, CHINA


Cite: Yunfang Peng, Lingzhi Fan, "Dynamic Layout Optimization Based on Improved Genetic Algorithm," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 53-59, Beijing, 25-27 June, 2017.