By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...

BCC Research examines how AI is improving diagnostic accuracy, enabling personalized treatments and optimizing therapeutic ...

Abstract: In the context of increasing reliance on computer networks, this study proposes an improved genetic algorithm (IGA) to address limitations of traditional methods in optimizing network ...

Genetic algorithms (GAs) are a class of population-based metaheuristic search methods inspired by principles of natural selection and evolution. They solve complex optimisation problems by encoding ...

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 ...

Genetic genealogy is identifying the mothers of deceased newborns found abandoned, shedding light on crimes that went unsolved for years. Women now may face lengthy prison sentences for decades-old ...

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...

College of Aircraft Engineering, Nanchang Hangkong University, Nanchang, China. Since time immemorial, achieving high performance, structural lightweight, and cost-effectiveness of aircraft has been a ...

Abstract: Genetic algorithm (GA) is a widely used optimization method, and its performance is closely related to its crossover strategy. In this article, a novel mechanism named “genomic crossover” is ...