Stochastic Diffusion Search
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Stochastic diffusion search (SDS), was first described in 1989 as a population-based, pattern-matching algorithm [Bishop, 1989]. It belongs to a family of swarm intelligence and naturally inspired search and optimisation algorithms which includes ant colony optimization, particle swarm optimization and genetic algorithms. Unlike stigmergetic communication employed in ant colony optimization, which is based on modification of the physical properties of a simulated envi...
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Stochastic diffusion search (SDS), was first described in 1989 as a population-based, pattern-matching algorithm [Bishop, 1989]. It belongs to a family of swarm intelligence and naturally inspired search and optimisation algorithms which includes ant colony optimization, particle swarm optimization and genetic algorithms. Unlike stigmergetic communication employed in ant colony optimization, which is based on modification of the physical properties of a simulated environment, SDS uses a form of direct (one-to-one) communication between the agents similar to the tandem calling mechanism employed by one species of ants, Leptothorax acervorum.
