Data-driven multiobjective analysis of manganese leaching from low grade sources using genetic algorithms, genetic programming, and other allied strategies

Materials and Manufacturing Processes

Volumn 26, Issue 3, 2011, Pages 415-430

  Biswas, Arijit ^a   Maitre, Ogier ^b   Mondal, Debanga Nandan ^a   Das, Syamal Kanti ^c   Sen, Prodip Kumar ^a   Collet, Pierre ^b   Chakraborti, Nirupam ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b UNIVERSITÉ DE STRASBOURG   (France)

^c MINISTRY OF EARTH SCIENCES   (India)

Author keywords

Evolutionary algorithm; Genetic algorithms; Genetic programming; Leaching; Manganese; Multiobjective optimization; Ocean nodules; Optimization; Pareto frontier

Indexed keywords

ACID CONSUMPTION; DATA-DRIVEN; DATA-DRIVEN MODEL; ENVIRONMENTAL CONCERNS; EVOLUTIONARY APPROACH; IN-HOUSE CODES; LEACHING PROCESS; LOW GRADE; MULTI OBJECTIVE; MULTI-OBJECTIVE ANALYSIS; OCEAN NODULES; PARETO FRONTIERS; PARETO OPTIMIZATION;

EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; GENETIC PROGRAMMING; MANGANESE; MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION; PROFITABILITY;

LEACHING;

EID: 84863393092     PISSN: 10426914     EISSN: 15322475     Source Type: Journal    
DOI: 10.1080/10426914.2010.544809     Document Type: Article

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