Evolution

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

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