In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...

ABSTRACT: With the widespread integration of high-penetration renewable energy, load volatility and spatio-temporal imbalances in power systems have intensified, imposing higher demands on real-time ...

Abstract: Genetic programming (GP) has achieved promising results without relying on the extraction of prior knowledge, e.g., fixed network architecture. However, most existing GP methods guide the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The accurate treatment of many-unpaired-electron systems remains a central challenge ...

Abstract: Aiming at the disadvantages of long training time and high model complexity caused by individual bloat in genetic programming, an improved genetic programming algorithm based on bloat ...

Collaborative research defines a novel approach to understanding how certain proteins called transcription factors determine which genetic programs will drive cell growth and maturation. The method, ...

A breakthrough algorithm helps scientists track human DNA changes across regions. Credit: vediphile / CC BY-SA 4.0 Researchers have developed an algorithm that maps shared ancestry across geography ...

A collaborative study published in Forest Ecosystems, led by researchers from Beijing Forestry University and the University of British Columbia (Canada), presents groundbreaking methods to ...

More sustainable chemical processes require the selection of suitable molecules, which can be supported by computer-aided molecular design (CAMD). CAMD often generates and evaluates molecular ...

ABSTRACT: This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this ...