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

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@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