Genetic algorithm

The advent of the deep learning evolutionary algorithm EvoDN2 and its recent applications

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The advent of the deep learning evolutionary algorithm EvoDN2 and its recent applications Nirupam Chakraborti Faculty of Mechanical Engineering, Czech Technical University in Prague, Czech Republic. DOI: https://doi.org/10.7494/cmms.2025.2.1021 Abstract: The evolutionary deep learning algorithm EvoDN2 is an emerging strategy for data-driven intelligent learning and many-objective optimisation capable of handling a large volume of noisy and … 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

Device simulation and multi-objective genetic algorithm-based optimization of germanium metal-oxide-semiconductor structure

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Device simulation and multi-objective genetic algorithm-based optimization of germanium metal-oxide-semiconductor structure Chieh-Yang Chen, Yiming Li Parallel and Scientific Computing Laboratory, Department of Electrical and Computer Engineering, National Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 300, Taiwan. DOI: https://doi.org/10.7494/cmms.2015.1.0532 Abstract: Germanium (Ge) and high-ê dielectric materials draw many attentions due to their fascinating electrical characteristics comparing … Read more

The structure of a general materials genome approach to the design of new steel grades for specific properties

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The structure of a general materials genome approach to the design of new steel grades for specific properties Wei Xu, Qi Lu, Xiaojun Xu, Sybrand Van Der Zwaag Novel Aerospace Materials group, Faculty of Aerospace Engineering, Delft University of Technology, 2628HS, Delft, The Netherlands. DOI: https://doi.org/10.7494/cmms.2013.3.0457 Abstract: In this work we review and reformulate a … Read more

Evolution of charging programs for optimal burden distribution in the blast furnace

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Evolution of charging programs for optimal burden distribution in the blast furnace Tamoghna Mitra, Debanga Nandan Mondal, Frank Pettersson, Henrik Saxén Thermal and Flow Engineering Laboratory, Åbo Akademi University, Biskopsgatan 8, FI-20500 Åbo, Finland. DOI: https://doi.org/10.7494/cmms.2013.1.0417 Abstract: The burden distribution in the blast furnace affects the efficiency of the upper part of the process and … 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

Applications of genetic algorithms in nanomaterials science: a short survey of recent results

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Applications of genetic algorithms in nanomaterials science: a short survey of recent results Wojciech Paszkowicz Institute of Physics, Polish Academy of Sciences, al. Lotnikow 32/46, 02-668 Warsaw, Poland. DOI: https://doi.org/10.7494/cmms.2013.1.0421 Abstract: Global-search procedures are an important element of materials design, processing, and properties determination. Genetic algorithms, a subset of algorithms based on evolutionary computation methods, … Read more

Mathematical modelling of iron ore sintering process using genetic algorithm: effect of moisture evaporation and condensation on the temperature profile

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Mathematical modelling of iron ore sintering process using genetic algorithm: effect of moisture evaporation and condensation on the temperature profile Sekhar Suman, Brijesh K. Giri, Gour G. Roy Department of Metallurgical & Materials Engineering, Kharagpur, 721 302, India. DOI: https://doi.org/10.7494/cmms.2013.1.0423 Abstract: Sintering is a process where iron ore fines are agglomerated in the form of … Read more

A genetic algorithm for optimizing production in a cold rolled steel slitting line

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A genetic algorithm for optimizing production in a cold rolled steel slitting line Biswajit Mahanty, Prabal Rakshit Department of Industrial Engineering and Management, Indian Institute of Technology Kharagpur, Kharagpur, WB-721302, India. DOI: https://doi.org/10.7494/cmms.2013.1.0426 Abstract: This paper presents a genetic algorithm for optimizing production in a cold rolled steel slitting line in a steel service center … Read more

Intelligent modeling using genetic algorithm for optimizing a-tig welding process parameters of mod. 9Cr-1Mo steel

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Intelligent modeling using genetic algorithm for optimizing a-tig welding process parameters of mod. 9Cr-1Mo steel Muthukumaran Vasudevan1, Krishnamoorthy Nadimuthu Gowtham2, Tammana Jayakumar1 1Metallurgy and Materials Group Indira Gandhi Centre for Atomic Research, Kalpakkam.2Department of Metallurgical Engineering PSG College of Technology, Coimbatore. DOI: https://doi.org/10.7494/cmms.2011.1.0306 Abstract: Modified 9Cr-1Mo ferritic steel is used as structural material for stream … Read more