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» Optimizing for Reduced Code Space using Genetic Algorithms
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GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 3 months ago
Potential fitness for genetic programming
We introduce potential fitness, a variant of fitness function that operates in the space of schemata and is applicable to tree-based genetic programing. The proposed evaluation ...
Krzysztof Krawiec, PrzemysBaw Polewski
GECCO
2000
Springer
250views Optimization» more  GECCO 2000»
15 years 6 months ago
A Simple and Fast GA-SA hybrid Image Segmentation Algorithm
Image segmentation is an important process of image analysis. Most of the published approaches for image segmentation need to set appropriate parameter values to cope with the unc...
Shinn-Ying Ho, Kual-Zheng Lee
ASAP
2010
IEEE
185views Hardware» more  ASAP 2010»
15 years 2 months ago
ImpEDE: A multidimensional design-space exploration framework for biomedical-implant processors
Abstract—The demand for biomedical implants keeps increasing. However, most of the current implant design methodologies involve custom-ASIC design. The SiMS project aims to chang...
Dhara Dave, Christos Strydis, Georgi Gaydadjiev
ICNC
2005
Springer
15 years 8 months ago
On Evolutionary Optimization of Large Problems Using Small Populations
Abstract. Small populations are very desirable for reducing the required computational resources in evolutionary optimization of complex real-world problems. Unfortunately, the sea...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
113
Voted
DAC
2000
ACM
16 years 3 months ago
Code compression for low power embedded system design
erse approaches at all levels of abstraction starting from the physical level up to the system level. Experience shows that a highlevel method may have a larger impact since the de...
Haris Lekatsas, Jörg Henkel, Wayne Wolf