Vulcanization Shop Scheduling Based on Distribution Estimation Algorithm

Authors

Shougang Zhang, Engineering Research Center of IoT Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Longcheng Wu, Engineering Research Center of IoT Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Wang Yan, Engineering Research Center of IoT Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Zhicheng Ji, Engineering Research Center of IoT Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;

Abstract

Abstract: Due to the characteristics of long time-consuming, energy consumption and high concentration in rubber tire vulcanization process, which is the tire production process bottlenecks process, a discrete distribution estimation algorithm (EDA) was proposed to solve the problem of vulcanization shop scheduling optimization with minimum maximum completion time as the optimization target. The algorithm was tested by different examples, and it was compared with the genetic algorithm and the harmony search algorithm. The experimental results show that the EDA algorithm is superior to the genetic algorithm and the harmony search algorithm in the quality of the solution and convergence speed, and it verifies the effectiveness and feasibility of the algorithm in solving the vulcanization shop scheduling problem.

Recommended Citation

Zhang, Shougang; Wu, Longcheng; Yan, Wang; and Ji, Zhicheng (2020) "Vulcanization Shop Scheduling Based on Distribution Estimation Algorithm," Journal of System Simulation: Vol. 29: Iss. 9, Article 42.
DOI: 10.16182/j.issn1004731x.joss.201709041
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss9/42

First Page

2182

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201709041

Last Page

2189

CLC

TP391.9

Recommended Citation

Zhang Shougang, Wu Longcheng, Wang Yan, Ji Zhicheng. Vulcanization Shop Scheduling Based on Distribution Estimation Algorithm[J]. Journal of System Simulation, 2017, 29(9): 2182-2189.

DOI

10.16182/j.issn1004731x.joss.201709041