Bilevel optimisation is a hierarchical framework involving two interdependent decision-making problems, where the solution of the lower-level problem constrains and influences the upper-level ...

Constantly "re-rolling the dice", combining and selecting: "Evolutionary algorithms" mimic natural evolution in silico and lead to innovative solutions for complex problems. Constantly “re-rolling the ...

Expensive optimization problem (EOP) refers to the problem that requires expensive or even unaffordable costs to evaluate candidate solutions, which widely exist in many significant real-world ...

At the intersection of neuroscience and artificial intelligence (AI) is an alternative approach to deep learning. Evolutionary algorithms (EA) are a subset of evolutionary computation—algorithms that ...

Stephanie Ness, also called Mrs Ness is an international, certified and influential specialist on evolutionary algorithms. She studied investment and information technology at Harvard University and ...

Amit Saha does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...