Submodular function optimisation has emerged as a cornerstone of contemporary algorithm design, offering a powerful framework to address a broad range of combinatorial problems characterised by the ...

The functions listed below are some of the common functions and datasets used for testing optimization algorithms. They are grouped according to similarities in their significant physical properties ...

This communication presents experimental research findings on the application of the flower pollination algorithm (FPA) and the African buffalo optimization (ABO) to implement the complex and fairly ...

With the advent of massively parallel computing coprocessors, numerical optimization for deep-learning disciplines is now possible. Complex real-time pattern recognition, for example, that can be used ...

This repository contains the source codes of optimized implenentation model for boolean functions towards low-latency, and area optimization from boolean functions to an S-box, which is described or ...

When I asked WAN optimization veterans to weigh in on what they think will be the biggest technology and industry trends to watch during the year ahead, the economy (not surprisingly) played a part in ...