Multiobjective Optimization of Manganese Recovery from Sea Nodules Using Genetic Algorithms

Author： Biswas Arijit   Chakraborti N.   Sen P. K.  

Publisher： Taylor & Francis Ltd

ISSN： 1042-6914

Source： Materials and Manufacturing Processes, Vol.24, Iss.1, 2009-01, pp. : 22-30

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Data-Driven Multiobjective Analysis of Manganese Leaching from Low Grade Sources Using Genetic Algorithms, Genetic Programming, and Other Allied Strategies

By Biswas Arijit  

Materials and Manufacturing Processes, Vol. 26, Iss. 3, 2011-03 ,pp. : 415-430

Taylor & Francis Ltd

Access to resources Recommend Favorite

Multi-objective optimization of a leg mechanism using genetic algorithms

By Deb Kalyanmoy   Tiwari Santosh  

Engineering Optimization, Vol. 37, Iss. 4, 2005-06 ,pp. : 325-350

Taylor & Francis Ltd

Access to resources Recommend Favorite

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

By Pettersson Frank  

Materials and Manufacturing Processes, Vol. 24, Iss. 3, 2009-03 ,pp. : 320-330

Taylor & Francis Ltd

Access to resources Recommend Favorite

Identification and Optimization of AB2 Phases Using Principal Component Analysis, Evolutionary Neural Nets, and Multiobjective Genetic Algorithms

By Agarwal Akash  

Materials and Manufacturing Processes, Vol. 24, Iss. 3, 2009-03 ,pp. : 274-281

Taylor & Francis Ltd

Access to resources Recommend Favorite

Pareto based multi-objective optimization of a cyclone vortex finder using CFD, GMDH type neural networks and genetic algorithms

By Khalkhali Abolfazl   Safikhani Hamed  

Engineering Optimization, Vol. 44, Iss. 1, 2012-01 ,pp. : 105-118

Taylor & Francis Ltd

Access to resources Recommend Favorite