CACO (Cooperative Ant Colony Optimization)

Cooperative Ant Colony Optimization (CACO) is an algorithmInspired by real ants working together to find the best path to food. In CACO, multiple "artificial ants" explore solutions simultaneously, sharing information (like pheromone trails) to guide each other toward optimal results. They cooperate by updating and reinforcing promising paths, enabling the group to efficiently solve complex problems like routing, scheduling, or network optimization. This collaborative process improves the chances of discovering high-quality solutions faster than individual efforts, leveraging collective intelligence inspired by nature.