Cu-Zn separation by supported liquid membrane analyzed through Multi-objective Genetic Algorithms

Hydrometallurgy

Volumn 107, Issue 3-4, 2011, Pages 112-123

  Mondal, Debanga Nandan ^a   Sarangi, Kadambini ^b   Pettersson, Frank ^c   Sen, Prodip Kumar ^a   Saxén, Henrik ^c   Chakraborti, Nirupam ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b CSIR INSTITUTE OF MINERALS AND MATERIALS TECHNOLOGY   (India)

^c ÅBO AKADEMI UNIVERSITY   (Finland)

Author keywords

D2EHPA; Evolutionary algorithm; Extraction; Genetic algorithms; Membrane; modeFRONTIER TM; Multi objective optimization; Neural network; Optimization; Separation

Indexed keywords

BI-OBJECTIVE OPTIMIZATION; COMMERCIAL SOFTWARE; D2EHPA; DATA-DRIVEN MODEL; EVOLUTIONARY NEURAL NETWORK; FIXED PERIOD; MOBILE CARRIERS; MODEFRONTIER TM; MODEL PREDICTION; MODELING STRATEGY; MULTI OBJECTIVE; MULTI-OBJECTIVE GENETIC ALGORITHM; OPTIMIZATION TASK; SEPARATION PROCESS; SIMILAR ANALYSIS; SUPPORTED LIQUID MEMBRANE;

COPPER; GENETIC ALGORITHMS; LIQUID MEMBRANES; LIQUIDS; NEURAL NETWORKS; PHOSPHORIC ACID; ZINC;

MULTIOBJECTIVE OPTIMIZATION;

EID: 79953252885     PISSN: 0304386X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.hydromet.2011.02.008     Document Type: Article

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