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

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Biswas:2011:MMP,

• author = "Arijit Biswas and Ogier Maitre and Debanga Nandan Mondal and Syamal Kanti Das and Prodip Kumar Sen and Pierre Collet and Nirupam Chakraborti",
• title = "Data-Driven Multiobjective Analysis of Manganese Leaching from Low Grade Sources Using Genetic Algorithms, Genetic Programming, and Other Allied Strategies",
• journal = "Materials and Manufacturing Processes",
• year = "2011",
• volume = "26",
• number = "3",
• pages = "415--430",
• keywords = "genetic algorithms, genetic programming, Evolutionary algorithm, Leaching, Manganese, Multiobjective optimisation, Ocean nodules, Optimisation, Pareto frontier",
• ISSN = "1042-6914",
• URL = "http://www.tandfonline.com/doi/abs/10.1080/10426914.2010.544809",
• URL = "http://www.tandfonline.com/doi/pdf/10.1080/10426914.2010.544809",
• DOI = "doi:10.1080/10426914.2010.544809",
• size = "16 pages",
• abstract = "Data-driven models are constructed for leaching processes of various low grade manganese resources using various nature inspired strategies based upon genetic algorithms, neural networks, and genetic programming and subjected to a bi-objective Pareto optimization, once again using several evolutionary approaches. Both commercially available software and in-house codes were used for this purpose and were pitted against each other. The results led to an optimum trade-off between maximising the recovery, which is a profit oriented requirement, along with a minimisation of the acid consumption, which addresses the environmental concerns. The results led to a very complex scenario, often with different trends shown by the different methods, which were systematically analysed.",

}

Genetic Programming entries for Arijit Biswas Ogier Maitre Debanga Nandan Mondal Syamal Kanti Das Prodip Kumar Sen Pierre Collet Nirupam Chakraborti

Citations