By Topic

Research on application of intelligent immune bee colony algorithm for production scheduling

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yong Zhang ; Sch. of Electron. & Inf. Eng., Univ. of Sci. & Technol. Liaoning, Anshan, China ; Jing Zhu

Bell-type batch annealing is a "bottle-neck" procedure with complicated resource constraints, energy constraints and working procedure constraints, which is obviously different from other procedures in the cold rolling line. Its mathematic model is difficult to formulate and optimal scheduling is hard to implement. Scheduling in bell-type batch annealing includes combinatorial stacking of coils and order optimization. Firstly, the combinatorial optimization problem of stacking of coils is investigated in this paper, and the width, thickness and hardness trips of rolling slab, delivery ahead of schedule, and delayed punishment based on minimum production constraints are set up. Secondly, the minimum model of cold rolling production scheduling is established based on TSP (Travelling salesman Problem), and an immune bee colony optimization algorithm is proposed to solve the problem. Lastly, combined above-mentioned two methods, new optimal colony is generated by injecting the vaccine into the bee colony to ensure the feasibility of balanced production of cold rolling production line.

Published in:

System Science and Engineering (ICSSE), 2012 International Conference on

Date of Conference:

June 30 2012-July 2 2012