A steady state micro genetic algorithm for hyper-heuristic generation in one-dimensional bin packing
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 ...
As the ML models have the advantages of high precision, low cost, short time, no need for any assumptions, ML models were widely employed to estimate evaporation or ET with incomplete meteorological ...
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