Bringing quantum ideas to the messy world of disordered proteins

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
Frontiers

Improving parameters estimation of a truncated Poisson regression model based on meta-heuristic optimization algorithms

Such as genetic algorithms, simulated annealing, particle swarm optimization, ant colony optimization, black-winged kite optimization algorithm [13]. The black kite optimization algorithm (BKA) is a ...
IEEE

Two-Stage Genetic Algorithm Offline Parameter Optimization of Adaptive Extended Kalman Filter for Robust Battery State-Of-Charge Estimation

Abstract: Accurately estimating battery state of charge (SOC) in electric vehicle applications (EVs) is crucial to ensure a safe and reliable vehicle operation. However, robust SOC estimation under ...
Frontiers

Application of the ANN with swarm optimization algorithm in layer property backcalculation for asphalt pavement

Three swarm optimization algorithms were utilized to determine the initial weights and biases of the ANN. Subsequently, the parameters of the Williams-Landel-Ferry (WLF) function were optimized using ...
GitHub

sureshkonar/stock-portfolio-optimization

🚀 An end-to-end quantitative portfolio optimization & stock intelligence tool built with Python & Streamlit. Analyze NSE, BSE & NYSE stocks with predictions, portfolio optimization, risk metrics, and ...
IEEE

Optimization of Mineral Oil Reclamation Using Response Surface Methodology and Multi-Objective Genetic Algorithms

Abstract: Aged transformer mineral oil undergoes chemical and physical degradation due to continuous thermal, oxidative, and electrical stresses, resulting in the formation of acidic compounds, ...