Researches on modeling and intelligent optimization method of scheduling for the process of alumina ore-burden energy saving oriented

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn , Issue , 2010, Pages 4477-4481

  Yin, Erwei ^a   Zou, Fengxmg ^a   Gao, Zheng ^a   Zou, Fantian ^a  

^a Department of Automatic Control   (China)

Author keywords

Hybrid Particle Swarm Optimization; Modeling; Optimal scheduling; Ore burden

Indexed keywords

BAYER PROCESS; ENERGY CONSUMPTION; ENERGY SAVING; HEAVY WORKLOADS; HYBRID PARTICLE SWARM OPTIMIZATION; INTELLIGENT OPTIMIZATION METHOD; MINIMUM ENERGY; MODELING; MULTIPLE CONSTRAINT; NON-LINEARITY; OBJECTIVE FUNCTIONS; OPTIMAL SCHEDULING; OPTIMAL SCHEME; OPTIMUM SOLUTION; UNCERTAIN FACTORS;

ENERGY CONVERSION; ENERGY UTILIZATION; INTELLIGENT CONTROL; ORES; SCHEDULING; SINTERED ALUMINA; SINTERING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 77958145341     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2010.5554076     Document Type: Conference Paper

References (9)

1. Chunhua Yang, Weihua Gui. A two-stage intelligent optimization system for the raw slurry preparing process of alumina sintering production. Engineering Applications of Artificial Intelligence. 2009 (22) 786-795.
2. Mathew Mithra Noel, Thomas C. Jannett. Simulation of a New Hybrid Particle Swarm Optimization Algonthm. IEEE Control Conference Boston, 2004, 7(2): 150-153.