Hardware Implementations of Swarming Intelligence -- A Survey

Cameron Eric Johnson
Parviz Palangpour
Ganesh K. Venayagamoorthy, Missouri University of Science and Technology

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Swarming intelligence (SI) is the property of a system whereby the collective behaviors of (unsophisticated) agents interacting locally with their environment cause coherent global patterns to emerge. Because there are no central processing requirements, SI is ideal for parallelization, which lends it well to hardware implementations in many inexpensive processors. Several implementations in hardware that exploit this property for rapid calculation and inexpensive construction are highlighted in this paper to provide a good starting point for developing hardware platforms for SI algorithms.