A design framework and genetic algorithm for digital design optimisation on FPGAs
2009 doctoral thesis by Matthew James Waipurukuma Savage at University of Auckland
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A design framework and genetic algorithm for digital design optimisation on FPGAs
Summary
A design framework and genetic algorithm for digital design optimisation on FPGAs is a doctoral thesis[1].
Key Facts
- A design framework and genetic algorithm for digital design optimisation on FPGAs's instance of is recorded as doctoral thesis[2].
- A design framework and genetic algorithm for digital design optimisation on FPGAs was published by ResearchSpace@Auckland[3].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's copyright license is recorded as Creative Commons Attribution-NonCommercial-ShareAlike 3.0 New Zealand[4].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's country of origin is recorded as New Zealand[5].
- A design framework and genetic algorithm for digital design optimisation on FPGAs was published on 2009[6].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's main subject is genetic algorithm[7].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's main subject is intelligent control[8].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's main subject is engineering[9].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's main subject is field-programmable gate array[10].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's work available at URL is recorded as https://researchspace.auckland.ac.nz/handle/2292/4523[11].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's title is recorded as A design framework and genetic algorithm for digital design optimisation on FPGAs[12].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's author name string is recorded as Matthew James Waipurukuma. Savage[13].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's thesis submitted to is recorded as University of Auckland[14].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's on focus list of Wikimedia project is recorded as NZThesisProject[15].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's copyright status is recorded as copyrighted[16].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's online access status is recorded as open access[17].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's thesis committee member is recorded as Zoran Salcic[18].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's thesis committee member is recorded as Grant Anthony Covic[19].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's thesis committee member is recorded as George Gunn Coghill[20].
- A design framework and genetic algorithm for digital design optimisation on FPGAs's thesis submitted for degree is recorded as Doctor of Philosophy[21].
Body
Authorship and Creation
A design framework and genetic algorithm for digital design optimisation on FPGAs was published by ResearchSpace@Auckland[3].
Publication
A design framework and genetic algorithm for digital design optimisation on FPGAs was published on 2009[6].
Subject and Themes
Main subjects include genetic algorithm[7], intelligent control[8], engineering[9], and field-programmable gate array[10].