Hybrid Genetic Algorithms: A Review

By Tarek A. El-Mihoub, A. Hopgood, Lars Nolle, Alan Battersby. Engineering Letters, 2006

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A review on genetic algorithm: past, present, and future (2020, background): “The main advantages of hybridized GA with other methods are better solution quality, better efficiency, guarantee of feasible solutions, and optimized control parameters [51].”
COCO: a platform for comparing continuous optimizers in a black-box setting (2016, methodology): “er, for example, a hybrid solver that couples an explorative strategy with a local search method. A number of nal function evaluations is typically reserved to additionally improve the best solutions [27]. Therefore, a single performance assessment of such solvers cannot be expected to faithfully pr”