Paper Title:
Solving Collaborative Manufacturing Resources Optimization Deployment Problems Based on Improved DNA Genetic Algorithm
  Abstract

In this paper, According to the collaborative manufacturing resources optimization deployment problems, designed subsection crossover and subsection mutation based on process code, adopted fitness scaling method and ranking method to select operators, proposed an improved genetic algorithm based on DNA computation for solving the resources optimization deployment problems, so that the offspring are better able to inherit the good features of parent. Through simulation, tested the designed algorithm performance; by comparing with conventional genetic algorithm test results, it proved the validity of the designed algorithm.

  Info
Periodical
Chapter
Chapter 1: Mechanic Manufacturing System and Automation
Edited by
Zhixiang Hou
Pages
289-292
DOI
10.4028/www.scientific.net/AMM.128-129.289
Citation
S. Z. Nie, Y. H. Zhong, "Solving Collaborative Manufacturing Resources Optimization Deployment Problems Based on Improved DNA Genetic Algorithm", Applied Mechanics and Materials, Vols. 128-129, pp. 289-292, 2012
Online since
October 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: 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: Bei Zhan Wang, Xiang Deng, Wei Chuan Ye, Hai Fang Wei
Chapter 13: Mechanical Control and Information Processing Technology
Abstract:The particle swarm optimization (PSO) algorithm is a new type global searching method, which mostly focus on the continuous variables and...
1787
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