64 Ans written on a poster during a demonstration against France rising the retirement age from 62 to 64 in Toulouse on June 5, 2025. Credit - Pat Batard—Hans Lucas via AFP/Getty Images People are ...

Abstract: Real-world production scenarios often involve multiobjective optimization problems with intricate constraints. Although there has been a growing interest in multiobjective problems with ...

An AI-driven torque allocation system for EVs on rough terrain using IMU data, deep learning, and real-time motor control via Raspberry Pi with Gazebo simulation and Flask-based dashboard.

Quadratically constrained quadratic programming (QCQP) problems appear in a wide range of engineering fields, including computer science, communication engineering, and finance. A key difficulty in ...

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, performance, and real-world applicability by introducing FlexQAOA, a hybrid ...

Learn how to implement the AdaMax optimization algorithm from scratch in Python. A great tutorial for understanding one of the most effective optimizers in deep learning. Russian lawmaker issues ...

1 School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China 2 School of Intelligent Systems and Engineering, Sun Yat-sen University, Shenzhen, China This study addresses the ...

MaximizeEI Maximize the expected improvement acquisition function for Gaussian processes. Use the dispersion-enhanced strategy from (Müller; 2024) for batch sampling. ParetoFront Sample at the Pareto ...

Abstract: The herein proposed Python package pflacco provides a set of numerical features to characterize single-objective continuous and constrained optimization problems. Thereby, pflacco addresses ...