Multi-Objective Optimization for an Industrial Grinding and Classification Process Based on PBM and RSM
Author:
Affiliation:
1. School of Automation, Central South university,Changsha,China,410083
2. Changsha Research Institute of Mining and Metallurgy,Changsha,China,410012
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization
Link
http://xplorestaging.ieee.org/ielx7/6570654/10266575/10266576.pdf?arnumber=10266576
Reference31 articles.
1. Multiobjective optimization of an industrial grinding operation using elitist nondominated sorting genetic algorithm
2. Survey on higher-level advanced control for grinding circuits operation
3. Successive approximate model based multi-objective optimization for an industrial straight grate iron ore induration process using evolutionary algorithm
4. A fast and elitist multiobjective genetic algorithm: NSGA-II
5. On the effect of subjective, objective and combinative weighting in multiple criteria decision making: A case study on impact optimization of composites
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