Analyzing Leaching Data for Low-Grade Manganese Ore Using Neural Nets and Multiobjective Genetic Algorithms

被引：66

作者：

Pettersson, Frank ^{[2
]}

Biswas, Arijit ^{[1
]}

Sen, Prodip Kumar ^{[1
]}

Saxen, Henrik ^{[2
]}

Chakraborti, Nirupam ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Met & Mat Engn, Kharagpur 721302, W Bengal, India

[2] Abo Akad Univ, Fac Technol, Heat Engn Lab, Turku, Finland

来源：

MATERIALS AND MANUFACTURING PROCESSES | 2009年 / 24卷 / 03期

关键词：

Evolutionary algorithm; Genetic algorithms; Leaching; Manganese; Multiobjective optimization; Neural network; Ocean nodules; Optimization; Pareto frontier; MANGANIFEROUS ORES; SULFURIC-ACID; OPTIMIZATION; NETWORKS; RECOVERY; MODEL;

D O I：

10.1080/10426910802679386

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Existing acid leaching data for low-grade manganese ores are modeled using an evolving neural net. Three distinct cases of leaching in the presence of glucose, sucrose and lactose have been considered and the results compared with an existing analytical model. The neural models are then subjected to bi-objective optimization, using a predator-prey genetic algorithm, maximizing recovery in tandem with a minimization of the acid concentration. The resulting Pareto frontiers are analyzed and discussed.

引用

页码：320 / 330

页数：11

共 33 条

[1] NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION [J].

AKAIKE, H .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) :716-723

[2]

ANDERSON JA, 2001, INTRO NEURAL NETWORK

[3] Neural net analysis of the liberation of gold using diagnostic leaching data [J].

Annandale, GJ ;

Lorenzen, L ;

VanDeventer, JSJ ;

Aldrich, C .

MINERALS ENGINEERING, 1996, 9 (02) :195-213

[4] Simulation and optimization of wiped-film poly-ethylene terephthalate (PET) reactor using multiobjective differential evolution (MODE) [J].

Babu, B. V. ;

Mubeen, J. H. Syed ;

Chakole, Pallavi G. .

MATERIALS AND MANUFACTURING PROCESSES, 2007, 22 (5-6) :541-552

[5] Acid leaching of manganiferous ores by sucrose:: Kinetic modelling and related statistical analysis [J].

Beolchini, F ;

Papini, MP ;

Toro, L ;

Trifoni, M ;

Vegliò, F .

MINERALS ENGINEERING, 2001, 14 (02) :175-184

[6] Multiobjective optimization of an industrial wiped-film pet reactor [J].

Bhaskar, V ;

Gupta, SK ;

Ray, AK .

AICHE JOURNAL, 2000, 46 (05) :1046-1058

[7]

BISWAS A, 2009, MINER PROCE IN PRESS

[8] Multiobjective Optimization of Manganese Recovery from Sea Nodules Using Genetic Algorithms [J].

Biswas, Arijit ;

Chakraborti, N. ;

Sen, P. K. .

MATERIALS AND MANUFACTURING PROCESSES, 2009, 24 (01) :22-30

[9]

Coello C.A., 2001, Evolutionary algorithms for solving multi-objective problem

[10] Solidification of double-diffusive flows using thermo-magneto-hydrodynamics and optimization [J].

Colaco, Marcelo J. ;

Dulikravich, George S. .

MATERIALS AND MANUFACTURING PROCESSES, 2007, 22 (5-6) :594-606

← 1 2 3 4 →