Abstract: A main issue in autonomous driving was robot path planning, but traditional optimization method faces the shortcoming of the complexity and dynamic in the real-world environments. Hence, ...

This project allows users to work with advanced portfolio optimization using natural language, without writing code. It provides 9 specialized MCP tools covering everything from classic mean-variance ...

Abstract: Particle Swarm optimization (PSO) is one of the widely used and effective optimization techniques to address real-world problems. This paper presents a hybrid PSO-BBO algorithm that ...

This volume is a comprehensive compilation of carefully selected questions at the PhD qualifying exam level, including many actual questions from Columbia University, University of Chicago, MIT, State ...

Porcupy implements the Crested Porcupine Optimizer (CPO), a nature-inspired metaheuristic that mimics porcupine defense mechanisms for optimization. It offers both object-oriented and procedural ...