For years, social media giants controlled what users saw in their feeds. While people could follow accounts, like posts or hide content they didn’t enjoy, recommendation algorithms controlled what was ...

DEAP（Distributed Evolutionary Algorithms in Python）是一个强大的开源框架，专为快速开发和测试进化算法而设计。本文将提供从环境准备到基础配置的一站式教程，帮助新手轻松掌握这个强大工具的使用 ...

High-quality hydrometeor microphysical observations are essential for accurate precipitation estimates and for evaluating weather and climate models. However, analyzing these properties is challenging ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...

Evolutionary computation encompasses a family of population-based metaheuristic methods inspired by natural evolution. Candidate solutions, encoded as genotypes, undergo iterative cycles of variation ...

Photonic design is a process of mathematical optimization of a desired objective (beam formation, mode conversion, etc.) subject to the constraint of Maxwell’s equations. Finding the optimal design is ...

Abstract: Decomposition has been the mainstream approach in the classic mathematical programming for multi-objective optimization and multi-criterion decision-making. However, it was not properly ...

Multi-objective scheduling problems in workshops are commonly encountered challenges in the increasingly competitive market economy. These scheduling problems require a trade-off among multiple ...

Iryna Yevseyeva is an Associate Professor in Computer Science at the Faculty of Computing, Engineering and Media, School of Computer Science and Informatics. She is Subject Group Leader for Cyber ...