Moffitt researchers develop algorithm to predict cancer cell evolution

Researchers at Moffitt Cancer Center have developed a new tool to predict how cancer cells evolve. By focusing on chromosome ...
IEEE

Research on Product Quality Inspection Based on Sequential Testing and Genetic Algorithms

Abstract: This paper investigates the decision-making solutions for enterprise product quality inspection based on sequential testing and genetic algorithms. Firstly, using the binomial distribution ...

Epistasis study uncovers genetic interactions linked to heart disease

Euan Ashley's lab explores the intricate interactions of gene variants. Tiny "typos," or genetic mutations, can sneak into segments of DNA. Many of these are harmless, but some can cause health ...
IEEE

Controlled Non-Dominated Sorting Genetic Algorithms for Multi-Objective Optimal Design of Standalone and Grid-Connected Renewable Energy Systems in Integrated Energy Sectors

Abstract: Non-dominated sorting genetic algorithms are recognized for their robustness and flexibility in optimizing renewable energy systems, surpassing traditional methods by handling multiple ...