Researchers have developed a new artificial intelligence-based system designed to improve cyberattack detection in ...

Abstract: Multiple uncrewed aerial vehicles path planning (MUPP) has become increasingly critical in modern aerial operations, enabling coordinated fleet missions across diverse and complex scenarios.

Every organism you have ever seen, every ecosystem you have ever walked through, is the ongoing output of an algorithm that ...

On Thursday, MicroAlgo Inc. MLGO announced the development of a multi-objective evolutionary algorithm designed to automate quantum circuit design and improve quantum computing efficiency. Algorithm ...

MicroAlgo Inc. (the 'Company' or 'MicroAlgo') (NASDAQ: MLGO), today announced the proposal of a powerful solution-a multi-objective evolutionary search strategy, which is an innovative automated tool ...

Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this study, we investigate the case of multi-attraction tourism planning in Qujing ...

Abstract: The presence of equality and inequality constraints is of significant importance in expensive constrained optimization. This study aims to develop a surrogate-assisted evolutionary algorithm ...