Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

There are several blind spots that companies face on the way to quantum readiness, but boards can work to resolve these.

This paper deals with the two-dimensional strip packing problem (2D-SPP) with the order/or multi-drop and vertical stability constraints. The existing exact algorithm that solves this problem is not ...

With growing focus on the existential threat quantum computing poses to some of the most crucial and widely used forms of encryption, cryptography engineer Filippo Valsorda wants to make one thing ...

Python implementation of the implicit fitting using radial basis functions (RBFs) with ellipsoidal constraint algorithm described in: A fundamental problem with unconstrained implicit surface fitting ...

ABSTRACT: Effective household waste management in developing cities requires optimization approaches adapted to local constraints. This article proposes a methodological framework for bi-weekly ...

As artificial intelligence, cloud computing, and data-heavy applications accelerate, public discussion has largely centered on software breakthroughs and increasingly powerful models. Much of the ...

With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has become crucial for enhancing mission success rates.

ABSTRACT: With the deepening of global economic integration, maritime logistics has become the core pillar of international trade, carrying more than 80% of global trade volume. Among the factors ...