Linfeng Hao Proposes an Intelligent Scenario Optimization Framework for Lane Keeping System Safety Testing

A new intelligent framework enhances lane keeping system safety testing by integrating statistical modeling, optimization algorithms, and ...
IEEE

Dynamic Heuristic Optimization in High-Order Runge–Kutta Schemes Using Reinforcement Learning and Genetic Algorithms

Abstract: This paper introduces a hybrid optimisation framework that integrates Genetic Algorithms (GAs) and Reinforcement Learning (RL) for the construction of high-order Runge–Kutta (RK) schemes.
IEEE

Stochastic Frank-Wolfe Algorithm for Constrained Bilevel Optimization With Improved Per-Iteration Complexity

Abstract: Bilevel optimization, where one optimization problem is inherently nested within another, has gained significant attention due to its extensive applications in machine learning, such as ...
Investopedia

Code Your Own Trading Bot: Master Algorithmic Trading Essentials

Thomas J. Brock is a CFA and CPA with more than 20 years of experience in various areas including investing, insurance portfolio management, finance and accounting, personal investment and financial ...
Nature

Optimization of the Genetic Code

THE Atlas of Protein Sequence and Structure compiled by Eck and Dayhoff 1 provides an opportunity for preliminary statistical examinations of aspects of the genetic code.
GitHub

Learning-Augmented Resource Allocation for Energy-Efficient 6G Wireless Systems

This project implements a novel machine learning-augmented resource allocation framework for 6G wireless networks. The system combines predictive models (LSTM/Transformer) with classical optimization ...