A genetic algorithms based multi-objective optimization approach applied to a hydrometallurgical circuit for ocean nodules

Mineral Processing and Extractive Metallurgy Review

Volumn 30, Issue 2, 2009, Pages 163-189

  Biswas, Arijit ^a   Chakraborti, N ^a   Sen, P K ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Genetic algorithms; Hydrometallurgy; Multi objective optimization; Ocean nodule

Indexed keywords

ASSOCIATED COSTS; BYPRODUCT RECOVERY; CHEMICAL CONSUMPTION; CHEMICAL COSTS; DECISION VARIABLES; DESIGN PARAMETERS; DIFFERENTIAL EVOLUTION; DIRECT OPERATING COSTS; FLOWSHEET; HYDROMETALLURGICAL PROCESS; LINEAR SIMULATION; MANGANESE ORE; MODULAR APPROACH; MULTI-OBJECTIVE GENETIC ALGORITHM; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; OCEAN NODULE; OPERATING VARIABLES; OPTIMIZATION APPROACH; OPTIMIZATION PROCEDURES; OPTIMIZATION TASK; ORE GRADES; PARETO OPTIMAL SOLUTIONS; POLYMETALLIC SEA NODULES; PRICE RATIO; PROCESS FLOW-SHEET; PROCESS SCHEMES; RELATIVE PRICES;

EXTRACTION; FLOWCHARTING; GENETIC ALGORITHMS; HYDROMETALLURGY; LEACHING; MANGANESE; METAL RECOVERY; METALLURGY; MULTIOBJECTIVE OPTIMIZATION; OCEANOGRAPHY; OPERATING COSTS; OPTIMAL SYSTEMS; ORE TREATMENT; ORES; PARETO PRINCIPLE; PRODUCTIVITY; SEQUENTIAL SWITCHING;

SET THEORY;

EID: 67651202209     PISSN: 08827508     EISSN: 15477401     Source Type: Journal    
DOI: 10.1080/08827500802397284     Document Type: Article

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