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Stochastic Diffusion Search

Project description

A library which implements the main variants of Stochastic Diffusion Search (SDS), and provides a convenient front end.

Stochastic Diffusion Search (SDS) is a generic population-based search method. SDS agents perform cheap, partial evaluations of a hypothesis (a candidate solution to the search problem). They then share information about hypotheses (diffusion of information) through direct one-to-one communication. As a result of the diffusion mechanism, high-quality solutions can be identified from clusters of agents with the same hypothesis.

This is a library used during the writing of my PhD thesis, I will publish full documentation and host the code on GitHub once the design has settled down and I have submitted my thesis. Until then, feel free to email me.

SDS has a Scholarpedia page:

A list of papers written on SDS can be found in the Stochastic Diffusion Search paper repository, maintained by the author of this module:

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