Abstract: Set meal design (SMD) for online-to-offline (O2O) restaurant services presents a complex optimization problem, requiring the simultaneous satisfaction of diverse customer preferences, ...
Abstract: Conventional Ant Colony Optimization (ACO) exhibits slow convergence and high parameter sensitivity in unstructured continuous optimization. This paper proposes Gradient-Adaptive Step ACO ...
This project implements a maze solving system based on the Depth-First Search (DFS) algorithm and explores bio-inspired optimization techniques to improve traversal efficiency. The system compares ...
Ant societies rely on precise recognition systems to maintain cooperation, but new research reveals that these systems are more adaptable than once believed. For ants, quickly telling friend from foe ...