Reviewers
|
Book & Monographs
|
Conference
|
Contact Us
SEARCH
|
My Profile
|
My Shopping Cart
|
Logout
Home
Publication Ethics
Open Access Policy
Guidelines
Journals
▼pphmjopenaccess.com▼
Engineering
Mathematics
Statistics
All Journals
Submit a Manuscript
Author Login
Author Registration
Forget Password
Journal Menu
Journal Home
Editorial Board
Guidelines for Authors
Indexing
Contents
Contents
Subscribe
Publication Ethics and Publication Malpractice Statement
Content
Volume 19 (2022)
Volume 19, (In Progress)
Pg 1 - 11 (June 2022)
Volume 18 (2019)
Volume 18, Issue 1
Pg 1 - 37 (June 2019)
Volume 17 (2018)
Volume 17, Issue 2
Pg 55 - 74 (December 2018)
Volume 17, Issue 1
Pg 1 - 54 (June 2018)
Volume 16 (2016)
Volume 16, Issue 3-4
Pg 61 - 101 (November 2016)
Volume 16, Issue 1-2
Pg 1 - 60 (May 2016)
Volume 15 (2015)
Volume 15, Issue 1-2
Pg 1 - 55 (November 2015)
Volume 14 (2015)
Volume 14, Issue 2
Pg 59 - 109 (May 2015)
Volume 14, Issue 1
Pg 1 - 57 (February 2015)
Volume 13 (2014)
Volume 13, Issue 2
Pg 73 - 152 (November 2014)
Volume 13, Issue 1
Pg 1 - 72 (August 2014)
Volume 12 (2014)
Volume 12, Issue 2
Pg 61 - 128 (May 2014)
Volume 12, Issue 1
Pg 1 - 60 (February 2014)
Volume 11 (2013)
Volume 11, Issue 2
Pg 51 - 107 (November 2013)
Volume 11, Issue 1
Pg 1 - 50 (August 2013)
Volume 10 (2013)
Volume 10, Issue 2
Pg 77 - 131 (May 2013)
Volume 10, Issue 1
Pg 1 - 76 (February 2013)
Volume 9 (2012)
Volume 9, Issue 2
Pg 83 - 159 (November 2012)
Volume 9, Issue 1
Pg 1 - 82 (August 2012)
Volume 8 (2012)
Volume 8, Issue 2
Pg 69 - 145 (May 2012)
Volume 8, Issue 1
Pg 1 - 67 (February 2012)
Volume 7 (2011)
Volume 7, Issue 2
Pg 99 - 168 (November 2011)
Volume 7, Issue 1
Pg 1 - 97 (August 2011)
Volume 6 (2011)
Volume 6, Issue 2
Pg 105 - 204 (May 2011)
Volume 6, Issue 1
Pg 1 - 104 (February 2011)
Volume 5 (2010)
Volume 5, Issue 2
Pg 131 - 263 (November 2010)
Volume 5, Issue 1
Pg 1 - 129 (August 2010)
Volume 4 (2010)
Volume 4, Issue 2
Pg 93 - 184 (May 2010)
Volume 4, Issue 1
Pg 1 - 92 (February 2010)
Volume 3 (2009)
Volume 3, Issue 3
Pg 175 - 266 (November 2009)
Volume 3, Issue 2
Pg 87 - 174 (July 2009)
Volume 3, Issue 1
Pg 1 - 85 (March 2009)
Volume 2 (2008)
Volume 2, Issue 3
Pg 201 - 284 (November 2008)
Volume 2, Issue 2
Pg 97 - 199 (July 2008)
Volume 2, Issue 1
Pg 1 - 96 (March 2008)
Volume 1 (2007)
Volume 1, Issue 3
Pg 189 - 283 (November 2007)
Volume 1, Issue 2
Pg 105 - 187 (July 2007)
Volume 1, Issue 1
Pg 1 - 104 (March 2007)
Categories
▼pphmjopenaccess.com▼
Engineering
Mathematics
Statistics
All Journals
Advances in Computer Science and Engineering
Advances in Computer Science and Engineering
Volume 1, Issue 3, Pages 249 - 261 (November 2007)
MULTI-OBJECTIVE GENETIC ALGORITHM FOR HARDWARE-SOFTWARE PARTITIONING IN EMBEDDED SYSTEMS: A WEIGHTED-SUM APPROACH
M. Jagadeeswari (India) and M. C. Bhuvaneswari (India)
Abstract:
This paper describes a novel weighted-sum genetic algorithm (WSGA) applied to hardware-software partitioning of embedded system design, where the traditional genetic algorithm (GA) can be customized to accommodate multi-objective problems by using specialized fitness functions. Genetic algorithms are popular meta-heuristic that is particularly well-suited for this class of problems because of population based approach. This method scalarizes a set of objectives into a single objective by pre-multiplying each objective with a user-supplied weight, which is chosen in proportion to the objectives relative importance in the problem. The time component of the system was also minimized by varying hardware area constraint on the hardware partition. These approaches generate superior results and execute much faster for larger systems and automatically generate a hardware/software partition with an objective to minimize the performance time. Finally a multi-objective optimization strategy was applied to search for multiple optimal solutions, the knowledge of which helps the designer to compare and choose a compromised optimal solution for which hardware/software design can be implemented. This method also promotes solution diversity than other heuristic approaches.
Keywords and phrases:
embedded systems, hardware-software partitioning, fitness function, weighted-sum genetic algorithm.
Number of Downloads:
263 |
Number of Views:
825
Previous
Next
P-ISSN: 0973-6999
Journal Stats
Publication count:
171
Citation count (Google Scholar):
0
h10-index (Google Scholar):
0
h-index (Google Scholar):
0
Downloads :
53520
Views:
143941
Downloads/publish articles:
312.98
Citations (Google Scholar)/publish articles:
0
This website is best viewed at 1024x768 or higher resolution with Microsoft Internet Explorer 6 or newer.
