Insect cognition Insect cognition Insect cognition describes the mental capacities and study of those capacities in insects. The field developed from comparative psychology where early studies focused more on animal behavior. Researchers have examined insect cognition in bees, fruit flies, and wasps. Research questions consist of experiments aimed to evaluate insects abilities with perception, attention, memory (wasp multiple nest), spatial cognition, tools use, problem solving, and concepts. Unlike in animal behavior the concept of group cognition plays a big part in insect studies. It is hypothesized some insect classes like ant and bees think with a group cognitive to function within their
Ant colony optimization algorithms is more analogous to the foraging patterns of the honey bee, another social insect. This algorithm is a member of the ant colony algorithms family, in swarm intelligence methods, and it constitutes some metaheuristic optimizations. Initially proposed by Marco Dorigo in 1992 in his PhD thesis, the first algorithm was aiming to search for an optimal path in a graph, based on the behavior of ants seeking a path between their colony and a source of food. The original idea has since diversified to solve a wider class of numerical problems, and as a result, several problems have emerged, drawing