Abstract: Many-objective optimization problems are challenging and time-consuming, especially when the number of objectives is large. In this paper, an evolutionary algorithm inspired by quantum ...

We haven't exactly worked out all of AI's kinks yet. Just try asking ChatGPT to solve a basic math problem or tell you how many R's are in "strawberry." You'll get a different, probably unhinged, ...

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

Abstract: Current multi-objective evolutionary algorithm based on domination still encounters several challenges, including bad population convergence, bad population diversity, as well as relatively ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Prototyping is natural. New smartphone concepts are tested ...

This doesn’t break correctness, but it can cause non-reproducible builds, both at the source and binary level. The fix is simple: after comparing ValueName, add a tie-break using the Name field so ...

It came to my attention that the design methods of SAFE do not respect the random_seed. This is because the random_seed is for SAFE related algorithm, while if you want to ensure deterministic output ...