Clustering Behavior of Ants:

Ants build cemeteries by collecting dead bodies into a single place in the nest. They also organize the spatial disposition of larvae into clusters with the younger, smaller larvae in the cluster center and the older ones at its periphery. This clustering behavior has motivated a number of scientific studies. Scientists have built simple probabilistic models of these behaviors and have tested them in simulation. The basic models state that an unloaded ant has a probability to pick up a corpse or a larva that is inversely proportional to their locally perceived density, while the probability that a loaded ant has to drop the carried item is proportional to the local density of similar items. This model has been validated against experimental data obtained with real ants. In the taxonomy this is an example of natural/scientific swarm intelligence system.

Nest Building Behavior of Wasps and Termites:

Wasps build nests with a highly complex internal structure that is well beyond the cognitive capabilities of a single wasp. Termites build nests whose dimensions (they can reach many meters of diameter and height) are enormous when compared to a single individual, which can measure as little as a few millimeters. Scientists have been studying the coordination mechanisms that allow the construction of these structures and have proposed probabilistic models exploiting stigmergic communication to explain the insects' behavior. Some of these models have been implemented in computer programs and used to produce simulated structures that recall the morphology of the real nests. In the taxonomy this is an example of natural/scientific swarm intelligence system.

Flocking and Schooling in Birds and Fish:

Flocking and schooling are examples of highly coordinated group behaviors exhibited by large groups of birds and fish. Scientists have shown that these elegant swarm-level behaviors can be understood as the result of a self-organized process where no leader is in charge and each individual bases its movement decisions solely on locally available information: the distance, perceived speed, and direction of movement of neighbours. These studies have inspired a number of computer simulations that are now used in the computer graphics industry for the realistic reproduction of flocking in movies and computer games. In the taxonomy these are examples respectively of natural/scientific and artificial/engineering swarm intelligence systems.

Journal of Swarm Intelligence and Evolutionary Computation provides an International forum for the publication of papers in the following areas. Artificial Intelligence; Robotics; Modelling & Analysis of swarm particle optimization; Swarm Intelligence; Evolutionary programming & Evolutionary Genetics; Genetic Algorithm & Genetic Programming; Ant colony Optimization; Bacterial Forging; Artificial Life & Digital Organisms; Bioinformatics; Evolutionary Computation; Artificial Immune System; Computing; Nano computing; Computational intelligence, etc. Swarm Intelligence journals are at higher echelons that enhance the intelligence and information dissemination on topics closely related to Swarm Intelligence. Computational methods in synthetic biology play a major role in this journal.

You can submit your related manuscript to www.longdom.org/submissions/international-swarm-intelligence-evolutionary-computation.html for publication in any type of research work as original papers, review article, and short communication.