Traditional Ant Colony Optimization (T-ACO) algorithms often face challenges in dynamic environments, particularly the tendency to become trapped in local minima, resulting in suboptimal path planning ...

Ant colony optimization (ACO) is an optimization computation inspired by the study of the ant colonies' behavior. The combinational optimization process sometimes is based on the pheromone model and ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and ...

Algorithm streamlines vascular system design for 3D printed hearts by Laura Castañón, Stanford University edited by Robert Egan Editors' notes ...

An enhanced particle swarm optimization method for wind resistance in high-rise buildings is introduced, focusing on weight ...

Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...

OTI Lumionics' paper reveals a method for optimizing qubit coupled cluster ansatz on classical computers, advancing quantum simulations for materials discovery.

This project uses Ant Colony Optimization (ACO) to reduce energy costs in irrigation systems while maintaining optimal soil moisture. The system shifts irrigation from expensive daytime hours to ...