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 ...

Many problems in mathematical sciences are ‘easy to evaluate’, despite being typically ‘hard to solve’. For example, in computer science, NP-complete optimization problems admit a polynomial-time ...