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Darwinian gradient descent

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posted on 2023-08-04, 15:44 authored by Michael Levin

Large optimization problems of many variables can be difficult to solve and very computationally intensive. To dedicate greater computer resources to the problem, this thesis proposes a way to distribute the problem over many different computers using the Berkeley Open Infrastructure for Network Computing (BOINC), an open-source platform where people can volunteer their personal computer to work on various problems while their computer is idle. My program runs a genetic version of a gradient descent algorithm, including conjugate gradient methods, that runs the algorithm in parallel on many computers at once to find a solution faster and to avoid some common problems of gradient descent, such as getting trapped in local minima.

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American University

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English

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Thesis (M.S.)--American University, 2010.

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http://hdl.handle.net/1961/thesesdissertations:2855

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