Journal
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS
Volume 21, Issue 3, Pages -Publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S021821301240012X
Keywords
Swarm intelligence; unification and diversity; formalization description
Categories
Funding
- National Science Foundation of China [61005090, 61003053, 61034004, 61075064, 91024023]
- Ph.D. Programs Foundation of Ministry of Education of China [20100072110038]
- Program for New Century Excellent Talents in University of Ministry of Education of China
- Shanxi Province Natural Science Foundation of China [2011011012-1]
- Program for the Top Young Academic Leaders of Higher Learning Institutions of Shanxi
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Swarm intelligence is a kind of nature-inspired heuristic optimization technique. Different computation models usually take on relative uniform characteristic though they usually have distinct extrinsic forms. These intelligent algorithms are coupling with deterministic and stochastic, the contradiction between necessity and accidental unity, which promotes the evolution of the inheritance and the creative process: stochastic is adopted to give creative ability to the implemented intelligent system, and a succession of certainty is acted to ensure the system is converging. In this paper, a computing framework of generalized swarm intelligence is proposed based on the unifying idea. The unified hiberarchy model and formalization description for swarm intelligence are represented. Several typical swarm intelligence algorithms, such as ant colony system (ACS), particle swarm optimization (PSO), estimation of distribution algorithms (EDA) and artificial immune algorithms (AIA) are addressed to validate the uniform idea of swarm intelligence, respectively.
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