Paper Title:
A New Hybrid Optimization Algorithm and its Application in Job Shop Scheduling
  Abstract

In this paper, a dual-resource constrained job shop scheduling problem was studied by designing a hybrid genetic algorithm based on Genetic Algorithm (GA) and Simulated Annealing (SA). GA is used to search for a group of better solutions to the problem of minimizing production cost and then SA is applied to searching them for the best one. The combination of GA and SA utilizes the advantages of the two algorithms and overcomes their disadvantages. The operation-based encoding and an active schedule decoding method were employed. This hybrid genetic algorithm reasonably assigns the resources of machines and workers to jobs and achieves optimum on some performance. The results of numerical simulations, which are compared with those of other well-known algorithms, show better performance of the proposed algorithm.

  Info
Periodical
Edited by
Qi Luo
Pages
1789-1793
DOI
10.4028/www.scientific.net/AMM.55-57.1789
Citation
X. Z. Cao, Z. H. Yang, "A New Hybrid Optimization Algorithm and its Application in Job Shop Scheduling", Applied Mechanics and Materials, Vols. 55-57, pp. 1789-1793, 2011
Online since
May 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Zhi Qiang Xie, Jing Yang, Yu Jing He, Guang Jie Ye
Abstract:Aiming at the dynamic integrated scheduling problem of complex multi-products with different arriving time and identical machines, an...
897
Authors: Guang Nian Yang, Wei Qi, Jun Zhou
Abstract:Now, our sewage treatment industry mainly depends on the blower of aeration act as metabolic, absorbed in the toxic substances. Blower...
591
Authors: Si Lian Xie, Tie Bin Wu, Shui Ping Wu, Yun Lian Liu
Chapter 18: Computer Applications in Industry and Engineering
Abstract:Evolutionary algorithms are amongst the best known methods of solving difficult constrained optimization problems, for which traditional...
2846
Authors: Fang Li, Yu Wang, Ying Chun Zhong, Zhi Tan
Chapter 16: Application of Information and Network Technology
Abstract:An optimization of multi-varieties and small-batch of production scheduling is proposed, which is embodied the utilization ratio of...
3177
Authors: Hai Yan Wang
Chapter 6: Production Management
Abstract:This paper presents a hybrid algorithm to address the flexible job-shop scheduling problem (FJSP). Based on Differential Evolution (DE), a...
502