In this chapter, a brief introduction is given to Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO). Optimization is the process to find a best optimal solution for the problem under ...

Find out more about available formats and browse any associated online resources. Optimization is an essential technique for solving problems in areas as diverse as accounting, computer science and ...

Optimization on Riemannian manifolds-the result of smooth geometry and optimization merging into one elegant modern framework-spans many areas of science and engineering, including machine learning, ...

Trinomial model and incompleteness, arbitrage-free price intervals. • General discrete-time models and the fundamental theorems. • Portfolio optimization and hedging. • Martingale theory in discrete ...

This course examines formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems, efficient algorithm methods, and use of computer modeling ...

This course examines formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems, efficient algorithm methods, and use of computer modeling ...

Including numerous hands-on problems and solutions, this comprehensive book is a helpful guide and a valuable source of information about Genetic Algorithm concepts for their several practical ...

The new design approach employs particle swarm optimization (PSO), an algorithm ... further showcasing its practical utility. The introduction of this inverse-design method represents a major ...

【第1集】L0.1 Introduction to Nuclear and Particle Physics: Course Overview L0.1核和粒子物理介绍：课程概述 译 MIT 8.701 Introduction to Nuclear and Particle Physics, Fall 2020麻省理工：核和粒子物理导论，2020年秋 - L0.1 Introduction to ...