Efficient Parallel Genetic Algorithm for Perturbed Substructure
Optimization in Complex Network
Efficient Parallel Genetic Algorithm for Perturbed Substructure
Optimization in Complex Network
Evolutionary computing, particularly genetic algorithm (GA), is a combinatorial optimization method inspired by natural selection and the transmission of genetic information, which is widely used to identify optimal solutions to complex problems through simulated programming and iteration. Due to its strong adaptability, flexibility, and robustness, GA has shown significant performance …