Achieving scale-free robust networks is a challenging problem due to its NP-hard nature and the vast, complex, high-dimensional solution space. Current methods, from handcrafted feature extraction to ...
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 ...
About 40 years ago Danny Kahneman and Amos Tversky made some wonderful discoveries. They identified a set of heuristics that people use — availability, representativeness, anchoring and adjustment, ...
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