Abstract: In the realm of combinatorial optimization, the Multiple Traveling Salesman Problem (MTSP) presents a unique challenge by requiring optimal routes for multiple salesmen. This study ...

Ants solve complex logistical challenges without leaders by using pheromone trails to communicate food location, quality, and ...

Ants choose new homes carefully, weighing factors like size & light. More differences between options improved choice ...

Like other insects, individual bees survive our harsh winters in diapause, overwintering in different stages of their life cycle: egg, larva, pupa and adult. Those individuals survive safe from the ...

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 ...

Honey bees are able to carefully manage the temperature inside their hives, but new research shows that extreme summer heat ...