Research published in the International Journal of Information and Communication Technology has taken inspiration from the ...

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 ...

Abstract: Multimodal multi-objective optimization problems (MMOPs) are prevalent in real-world applications and have emerged as a significant research focus in evolutionary computation. Unlike ...

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 ...

Department of Chemical Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610 Perak, Malaysia ...