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2010 Latin American Robotics Symposium and Intelligent Robotics Meeting
HW/SW Co-design Architecture for Evolutionary Robotics
São Bernardo do Campo, Brazil
October 23-October 28
ISBN: 978-0-7695-4231-7
| ASCII Text | x | ||
| Mauricio A. Dias, Daniel O. Sales, Fernando S. Osório, "HW/SW Co-design Architecture for Evolutionary Robotics," Latin American Robotics Symposium and Intelligent Robotics Meeting, pp. 43-48, 2010 Latin American Robotics Symposium and Intelligent Robotics Meeting, 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/LARS.2010.30, author = {Mauricio A. Dias and Daniel O. Sales and Fernando S. Osório}, title = {HW/SW Co-design Architecture for Evolutionary Robotics}, journal ={Latin American Robotics Symposium and Intelligent Robotics Meeting}, volume = {0}, year = {2010}, isbn = {978-0-7695-4231-7}, pages = {43-48}, doi = {http://doi.ieeecomputersociety.org/10.1109/LARS.2010.30}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Latin American Robotics Symposium and Intelligent Robotics Meeting TI - HW/SW Co-design Architecture for Evolutionary Robotics SN - 978-0-7695-4231-7 SP43 EP48 A1 - Mauricio A. Dias, A1 - Daniel O. Sales, A1 - Fernando S. Osório, PY - 2010 KW - HW/SW Codesign KW - evolutionary computing KW - robotics KW - shuffle crossover VL - 0 JA - Latin American Robotics Symposium and Intelligent Robotics Meeting ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/LARS.2010.30
Evolutionary algorithms are very common techniques used in computational intelligence and robotics field applications. Some algorithms need a large amount of memory and processing power, making them difficult to implement into embedded systems. In this work a profile-based approach is proposed and applied in an evolutionary algorithm with some characteristics that allow it’s use on embedded systems and robotics: the micro-GA. The main goal is to implement a new hardware-software co-design architecture for this genetic algorithm with better execution time than algorithms implemented in software (using general purpose hardware solutions). The presented results show a comparison between different code sign implementations and discussion about new architecture advantages.
Index Terms:
HW/SW Codesign, evolutionary computing, robotics, shuffle crossover
Citation:
Mauricio A. Dias, Daniel O. Sales, Fernando S. Osório, "HW/SW Co-design Architecture for Evolutionary Robotics," lars, pp.43-48, 2010 Latin American Robotics Symposium and Intelligent Robotics Meeting, 2010
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