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Pheromone-based communication is one of the most effective ways of communication which is widely observed in nature. Pheromone is used by social insects such as bees, ants and termites; both for inter-agent and agent-swarm communications. Due to its feasibility, artificial pheromones have been adopted in multi-robot and swarm robotic systems.
Swarm is an open-source agent-based modeling simulation package, useful for simulating the interaction of agents (social or biological) and their emergent collective behavior. Swarm was initially developed at the Santa Fe Institute in the mid-1990s, and since 1999 has been maintained by the non-profit Swarm Development Group .
A small fraction of the colony constantly searches the environment looking for new flower patches. These scout bees move randomly in the area surrounding the hive, evaluating the profitability (net energy yield) of the food sources encountered. [7] When they return to the hive, the scouts deposit the food harvested.
This forces the queen to diet and lose weight so she becomes fit for the swarm flight. Apparently, at the first time this type of backfilling behavior starts is the best time to do the Checkerboarding intervention. It requires filling two hive boxes above the broodnest each alternately with capped honey-filled frames and empty drawn frames ...
Demaree also described a swarm prevention method in 1884, but that was a two-hive system that is unrelated to modern "demareeing". [2] As with many swarm prevention methods, demareeing involves separating of the queen and forager bees from the nurse bees. The theory is that forager bees will think that the hive has swarmed if there is a drastic ...
In feral hives the honey bees tend to put the brood at bottom center of the cavity, and honey to the sides and above the brood, so beekeepers are trying to follow the natural tendency of the bees. In the mid to late spring, just before a bee hive would naturally split by swarming , beekeepers often remove frames of brood, with adhering bees, to ...
Particle swarm optimization (PSO) is a global optimization algorithm for dealing with problems in which a best solution can be represented as a point or surface in an n-dimensional space. Hypotheses are plotted in this space and seeded with an initial velocity , as well as a communication channel between the particles.
A swarm typically contains about half the workers together with the old queen, while the new queen stays back with the remaining workers in the original hive. When honey bees emerge from a hive to form a swarm, they may gather on a branch of a tree or on a bush only a few meters from the hive.