Study of Swarm Intelligence Technology, Its Principals, Capabilities and Concepts for Algorithms..
Keywords:
Swarm, ants, Technology, Genetic Algorithms, intuitionsAbstract
it enables groups to form real-time systems online, connecting as ‘human swarms’ from anywhere in the world. A combination of real-time human input and A.I. algorithms, a Swarm A.I. system combines the knowledge, wisdom, opinions, and intuitions of live human participants as a unified emergent intelligence that can generate optimized predictions, decisions, insights, and judgments.
References
Alaya (2007) Ant Colony Optimization for Multi-objective Optimization Problems, in Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence, pages 450--457, 2007.
Appleby, S., & Steward, S. (1994). Mobile software agents for control in telecommunications Networks. BT Technology Journal, Vol. 12, No.2.
H. Berg and D. Brown (1972) Chemotaxis in escherichia coli analysed by three-dimensional tracking. Nature, 239, pp. 500—504, 1972.
Arijit Biswas, Sambarta Dasgupta, Swagatam Das, and Ajith Abraham. (2007), Synergy of PSO and Bacterial Foraging Optimization –-- A Comparative Study on Numerical Benchmarks, in E. Corchado et al., ed., Innovations in Hybrid Intelligent Systems, no. 44 in Advances in Soft computing, pp. 255—263, 2007. Christian Blum (2005a) Ant colony optimization: Introduction and recent trends, Physics of Life Reviews, 2(4), pp. 353—373, 2005
Christian Blum (2005b) Beam-ACO---hybridizing ant colony optimization with beam search: an application to open shop scheduling, Computers & Operations Research, pages 1565—1591, 2005.
