Abstract: Expensive constrained optimization problems (ECOPs), which frequently arise in real-world engineering optimization, are often limited by the number of evaluations. Using surrogate-assisted ...
Factor graph optimization serves as a fundamental framework for robotic perception, enabling applications such as pose estimation, simultaneous localization and mapping (SLAM), structure-from-motion ...
UAV swarms have shown immense potential for applications ranging from disaster response to military reconnaissance, but ensuring reliable communication in contested environments has remained a ...
A comprehensive system for demonstrating measurable performance improvements through systematic prompt engineering using information-theoretic metrics and statistical validation.
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
SLSQP stands for Sequential Least Squares Programming. It is a numerical optimization algorithm used to solve constrained nonlinear optimization problems. In this project, we aim to optimize objective ...