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Furkan Rabee and Zahir M. Hussain
Optimization using genetic algorithms (GA) is a well-known strategy in several scientific disciplines. The crossover is an essential operator of the genetic algorithm. It has been an active area of research to develop sustainable forms for this operand. ...
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Marta C. Diaz-Saez, Gonzalo Navarro-Fernández, Josué Fernandez-Carnero, Miriam Garrigós-Pedrón, Juan Pablo Romero Muñoz and Hector Beltran-Alacreu
Mixed reality presents itself as a potential technological tool for the management of people with musculoskeletal disorders, without having as many adverse side effects as immersive virtual reality. The objective of this study was to explore the possibil...
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Rafael Lahoz-Beltra
Genetic algorithms (GAs) are a class of evolutionary algorithms inspired by Darwinian natural selection. They are popular heuristic optimisation methods based on simulated genetic mechanisms, i.e., mutation, crossover, etc. and population dynamical proce...
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