A steady-state \(\mu\)GA-based generative hyper-heuristic approach for producing selection hyper-heuristics that outperform those generated by other evolutionary methods in the literature for the ...

Traditional meta-heuristic algorithms are often inspired by natural phenomena or biological behaviors, while relatively few are based on human social behavior. Moreover, existing algorithms inspired ...