Authors:
Mohammad Hadi Mirmohammadi
;
Hossein Haddad
and
Seyed Mehdi Naghavi
Affiliation:
Mobarakeh Steel Company, Iran, Islamic Republic of
Keyword(s):
Hybrid optimization, Real-coded genetic algorithm, Nelder and Mead simplex method, Set-up optimization model, Tandem cold rolling.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Computational Intelligence
;
Evolutionary Computing
;
Expert Systems
;
Formal Methods
;
Genetic Algorithms
;
Health Information Systems
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Optimization Algorithms
;
Planning and Scheduling
;
Simulation and Modeling
;
Soft Computing
;
Symbolic Systems
Abstract:
Set-up optimization of the rolling process involves several parameters that may lead to complex multi objective optimization problem. Also, it is well known that experience is playing a vital role in the selection of operating parameters in rolling mill. This paper presents a combination of two optimization procedure for a multi objective optimization problem. The first optimization phase is based on Nelder and Mead simplex method which focus on balance of power, force and reduction distribution in set-up planning. Then, a real-coded genetic algorithm based optimization procedure applies on the system as an outer loop to optimize energy consumption and productivity. An experimental result of application to five stand tandem cold rolling mill is presented.