This paper investigates parallel particle swarm optimization (parallel PSO) and mathematical morphology (MM) for classification of very high resolution (VHR) remote sensing images. The proper ...

K-nearest neighbor (K-NN) algorithm is a classification method based on statistical theory. In this algorithm the Euclidean distance is usually chosen as the similarity measure, which usually relates ...

The Crow Search Algorithm is a population-based optimization method that offers a balance between exploration and exploitation of the search space. It has been applied to various optimization problems ...

OR406.2 Mathematical Programming: Introduction to theory and the solution of linear and nonlinear programming problems: simplex and interior point algorithms, integer linear programming (ILP) methods ...

The world is complex. There’s a mathematical problem-solving tool for that. Optimization algorithms are quietly going to work all around you. From shipping schedules to food logistics and emergency ...

be able to develop algorithms, exact and approximate for some types of combinatorial optimization. ... Mathematical Optimization (discontinued). 10 credits overlap with MAT-INF9110 – Mathematical ...