Abstract: This paper conducts a thorough comparative analysis of optimization algorithms for an unconstrained convex optimization problem. It contrasts traditional methods like Gradient Descent (GD) ...

A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...

Abstract: The quadratic knapsack problem (QKP) with constraints has been a focus of attention in combinatorial optimization, where traditional exact algorithms face difficulties in solving large-scale ...

Over the past decade, experts in the field of nanotechnology and materials science have been trying to devise architectures ...