Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

As enterprises pour billions into GPU infrastructure for AI workloads, many are discovering that their expensive compute resources sit idle far more than expected. The culprit isn't the hardware. It’s ...

Abstract: This article considers modern applied problems formalized as the Quadratic Assignment Problem (QAP) and its generalizations. The main mathematical formulations are analyzed, with particular ...

Abstract: Ant Colony Optimization (ACO) algorithms have proven to be powerful tools for solving path planning problems. Improving the ACO algorithm involves modifying the pheromone update function to ...