|InterJournal Complex Systems, 1061
|Manuscript Number: |
Submission Date: 2004
|Using Product Distributions for Distributed Optimization|
With connections to bounded rational game theory, information theory and statistical mechanics, Product Distribution (PD) theory provides a framework for performing distributed optimization. This paper will present the mathematical foundations and the details of the algorithm used to perform optimization. The focus will be on understanding the mechanisms which are achieving the coordination and on highlighting the flexibility of the approach. The technique will be demonstrated on a variety of unconstrained and constrained optimization problems. The talk will also include comparisons with two forms of distributed reinforcement learning inspired optimization approaches, parallel and serial Brouwer updating. The inter-relationship of the techniques will be discussed.
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