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SIES
2007
IEEE
10 years 7 months ago
Design Space Exploration with Evolutionary Multi-Objective Optimisation
— High level synthesis is one of the next major steps to improve the hw/sw co-design process. The advantages of high nthesis are two-fold. At first the level of abstraction is r...
Martin Holzer 0002, Bastian Knerr, Markus Rupp
VLSID
2006
IEEE
112views VLSI» more  VLSID 2006»
10 years 7 months ago
Handling Constraints in Multi-Objective GA for Embedded System Design
Design space exploration is central to embedded system design. Typically this is a multi-objective search problem, where performance, power, area etc. are the different optimizati...
Biman Chakraborty, Ting Chen, Tulika Mitra, Abhik ...
ASPDAC
2007
ACM
116views Hardware» more  ASPDAC 2007»
10 years 5 months ago
MODLEX: A Multi Objective Data Layout EXploration Framework for Embedded Systems-on-Chip
The memory subsystem is a major contributor to the performance, power, and area of complex SoCs used in feature rich multimedia products. Hence, memory architecture of the embedded...
T. S. Rajesh Kumar, C. P. Ravikumar, R. Govindaraj...
GECCO
2000
Springer
153views Optimization» more  GECCO 2000»
10 years 5 months ago
Applying Genetic Algorithms to Multi-Objective Land Use Planning
This paper explores the application of multiobjective Genetic Algorithms (mGAs) to rural land use planning, a spatial allocation problem. Two mGAs are proposed. Both share an unde...
Keith B. Matthews, Susan Craw, Stewart Elder, Alan...
TR
2008
78views more  TR 2008»
10 years 1 months ago
MOMS-GA: A Multi-Objective Multi-State Genetic Algorithm for System Reliability Optimization Design Problems
A custom genetic algorithm was developed and implemented to solve multiple objective multi-state reliability optimization design problems. Many real-world engineering design proble...
Heidi A. Taboada, Jose F. Espiritu, David W. Coit
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