A Novel Swarm Intelligence Optimization Algorithm for Enhanced Communication

Swarm Intelligence is a problem-solving behavior that occurs as a result of a multiplicity of interactions between independent components that make up the entire system Swarm intelligence comes from the biological study of social insect and insight about how they manage to solve complex problems in their daily lives. Research field as swarm systems are examples of behavior based systems.

The proposed algorithm can be used for solving Traveling salesman problem and other applications. The proposed research work combines the energy awareness and efficiency with the Swarm Intelligence (SI) optimization to determine on-demand optimal path between a certain sourcedestination pair. Bee Colony Optimization (BCO) model is a new general purpose Swarm Intelligence optimization technique based on efficient labor employment and efficient energy consumption through a multi-agent distributed model. BCO model has adopted mainly two natural behaviors from the social bees’ life: The mating process behavior and the foraging process behavior.