Search results
Swarm intelligence ( SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems. [1]
May 15, 2021 · Swarm Intelligence (S.I.) was introduced by Gerardo Beni and Jing Wang in the year 1989. S.I. simply means using the knowledge of collective objects (people, insects, etc.) together and then reaching the optimized solution for a given problem.
Swarm intelligence is the study of agglomerative behavior of gregarious creatures, particularly insects, and to simulate their behavior for solving complex, nonlinear problems.
The journal publishes original research articles and occasional reviews on theoretical, experimental, and practical aspects of swarm intelligence. It offers readers reports on advances in the understanding and utilization of systems that are based on the principles of swarm intelligence.
Dec 22, 2023 · Advances in scalable computing and artificial intelligence have developed swarm intelligence approaches. In fact, swarm intelligence algorithms use the cooperative and group behavior of social organisms in nature. In this tutorial, we’ll look at what this swarm intelligence means and what it does.
Feb 1, 2012 · Swarm Intelligence (SI) is a relatively new and potentially promising branch of Artificial Intelligence that is used to model the collective intelligent behavior of social swarms in nature.
Jan 3, 2023 · The term, swarm intelligence, introduced by G. Beni and J. Wang in 1989 [ 1] has been used to refer to the branch of optimization algorithms that models the collective behavior of animal colonies and the interactions (with the environment and other members of the swarm) of the members present in such a colony.
