Simultaneous extraction of Cu2+ and Cd2+ ions in water, wastewater, and food samples using solvent-terminated dispersive liquid–liquid microextraction: optimization by multiobjective evolutionary algorithm based on decomposition - Farajvand, Mohammad; Kiarostami, Vahid; Davallo, Mehran; Ghaedi, Abdolmohammad (Environmental monitoring and assessment, 2019)
Keywords: Algorithms; Aqueous solutions; Artificial neural networks; Atmospheric Protection/Air Quality Control/Air Pollution; Cadmium; Chelates; Chelating agents; Chelation; Copper; Decomposition; detection limit; Earth and Environmental Science; Ecology; Ecotoxicology; Environment; Environmental Management; Evolutionary algorithms; Factories; Food; food science; Foods; Fruit juices; Genetic algorithms; Heavy metals; Heuristic methods; Independent variables; Ions; Liquid-liquid extraction; liquid-phase microextraction; methanol; Monitoring/Environmental Analysis; Multiple objective analysis; Neural networks; Optimization; Pareto optimum; Solvent extraction; Solvents; Sorting algorithms; system optimization; Variables; Wastewater; Water; Xylene; Iran; United States--US; Solvent-terminated dispersive liquid–liquid microextraction; Multiobjective evolutionary algorithm based on decomposition; Cadmium ions; Copper ions; Artificial neural networks