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math.OC2023★ 6 cited
Kinetic description and convergence analysis of genetic algorithms for global optimization
Giacomo Borghi, Lorenzo Pareschi
Genetic Algorithms (GA) are a class of metaheuristic global optimization methods inspired by the process of natural selection among individuals in a population. Despite their wides…
math.OC2023★ 7 cited
Consensus based optimization with memory effects: random selection and applications
Giacomo Borghi, Sara Grassi, Lorenzo Pareschi
In this work we extend the class of Consensus-Based Optimization (CBO) metaheuristic methods by considering memory effects and a random selection strategy. The proposed algorithm i…