Multi-objective optimization

Handling insensitivity in multi-physics inverse problems using a complex evolutionary strategy

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Handling insensitivity in multi-physics inverse problems using a complex evolutionary strategy Jakub Sawicki, Maciej Smołka, Marcin Łoś, Robert Schaefer AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland. DOI: https://doi.org/10.7494/cmms.2019.1.0625 Abstract: In this paper we present a complex strategy for the solution of ill posed, in-verse problems formulated as multiobjective global optimization … Read more

Multi-objective optimization of phthalic anhydride catalytic reactor using genetic algorithm with simulated binary jumping genes operator

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Multi-objective optimization of phthalic anhydride catalytic reactor using genetic algorithm with simulated binary jumping genes operator Vibhu Trivedi, Manojkumar Ramteke Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110 016, India. DOI: https://doi.org/10.7494/cmms.2015.1.0510 Abstract: Multi-objective optimization problems of chemical industry have been efficiently solved by evolutionary algorithms (EAs). However, due … Read more

Parametric sensitivity through optimization under uncertainty approach

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Parametric sensitivity through optimization under uncertainty approach Kishalay Mitra Department of Chemical Engineering, Indian Institute of Technology Hyderabad, Yeddumailaram, Hyderabad 502205, India. DOI: https://doi.org/10.7494/cmms.2013.1.0418 Abstract: While mimicking a physical phenomenon in a computational framework, there are tuning parameters quite often present in a computational model. These parameters are generally tuned with the experimental data to … Read more

Hybrid multi-objective differential evolution for multi-objective optimization of industrial polymeric materials

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Hybrid multi-objective differential evolution for multi-objective optimization of industrial polymeric materials Ashish M. Gujarathi, B. V. Babu Chemical Engineering Department,Birla Institute of Tehnology and Science,Pilani – 333031 Rajasthan, India. DOI: https://doi.org/10.7494/cmms.2011.3.0370 Abstract: MOO of industrial case studies involving process design decisions [namely, styrene reactor, polyethylene terephthalate (PET) reactor, and low density polyethylene (LDPE) tubular reactor] … Read more