A biobjective DC programming approach to optimization of rougher flotation process. (4th January 2018)
- Record Type:
- Journal Article
- Title:
- A biobjective DC programming approach to optimization of rougher flotation process. (4th January 2018)
- Main Title:
- A biobjective DC programming approach to optimization of rougher flotation process
- Authors:
- Gruzdeva, Tatiana V.
Ushakov, Anton V.
Enkhbat, Rentsen - Abstract:
- Highlights: The problem of optimizing the rougher flotation process and determining the best operating conditions. A general bi-objective DC programming framework. A particular implementation of the framework for optimizing the copper concentrate grade and recovery. Computational evaluation of the framework via a case study for a Mongolian mineral processing plant. Abstract: New economic and environmental challenges have recently led to a growing interest in modern mathematical optimization and modeling techniques in order to improve the froth flotation performance. An important issue is that most of corresponding mathematical optimization models are non-convex and involve multiple criteria; hence, conventional convex optimization methods cannot guarantee finding global (Pareto) optimal solutions. We propose a deterministic biobjective mathematical programming framework, combined with experimental design and regression analysis, to optimizing flotation performance and determining the optimal operating conditions that meet specific needs. The framework aims at maximizing concentrate grade and recovery and is based on some well-known and advanced approaches including an epsilon-constraint method, DC programming, an exact penalty method, and the special global search strategy. To demonstrate the effectiveness of the proposed approach, we present a case study for the rougher flotation process of copper-molybdenum ores performed at the Erdenet Mining Corporation MineralHighlights: The problem of optimizing the rougher flotation process and determining the best operating conditions. A general bi-objective DC programming framework. A particular implementation of the framework for optimizing the copper concentrate grade and recovery. Computational evaluation of the framework via a case study for a Mongolian mineral processing plant. Abstract: New economic and environmental challenges have recently led to a growing interest in modern mathematical optimization and modeling techniques in order to improve the froth flotation performance. An important issue is that most of corresponding mathematical optimization models are non-convex and involve multiple criteria; hence, conventional convex optimization methods cannot guarantee finding global (Pareto) optimal solutions. We propose a deterministic biobjective mathematical programming framework, combined with experimental design and regression analysis, to optimizing flotation performance and determining the optimal operating conditions that meet specific needs. The framework aims at maximizing concentrate grade and recovery and is based on some well-known and advanced approaches including an epsilon-constraint method, DC programming, an exact penalty method, and the special global search strategy. To demonstrate the effectiveness of the proposed approach, we present a case study for the rougher flotation process of copper-molybdenum ores performed at the Erdenet Mining Corporation Mineral Processing Plant (Mongolia). … (more)
- Is Part Of:
- Computers & chemical engineering. Volume 108(2018)
- Journal:
- Computers & chemical engineering
- Issue:
- Volume 108(2018)
- Issue Display:
- Volume 108, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 108
- Issue:
- 2018
- Issue Sort Value:
- 2018-0108-2018-0000
- Page Start:
- 349
- Page End:
- 359
- Publication Date:
- 2018-01-04
- Subjects:
- DC programming -- Multiobjective optimization -- Froth flotation -- Mineral processing -- Global optimization -- Copper
Chemical engineering -- Data processing -- Periodicals
660.0285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00981354 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compchemeng.2017.10.001 ↗
- Languages:
- English
- ISSNs:
- 0098-1354
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.664000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5327.xml