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ICCD
2001
IEEE
110views Hardware» more  ICCD 2001»
16 years 1 months ago
Low-Energy DSP Code Generation Using a Genetic Algorithm
This paper deals with low-energy code generation for a highly optimized digital signal processor designed for mobile communication applications. We present a genetic algorithm bas...
Markus Lorenz, Rainer Leupers, Peter Marwedel, Tho...
EUROGP
2009
Springer
132views Optimization» more  EUROGP 2009»
15 years 11 months ago
A Statistical Learning Perspective of Genetic Programming
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
Nur Merve Amil, Nicolas Bredeche, Christian Gagn&e...
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
15 years 11 months ago
Genetic multi-step search in interpolation and extrapolation domain
The deterministic Multi-step Crossover Fusion (dMSXF) is an improved crossover method of MSXF which is a promising method of JSP, and it shows high availability in TSP. Both of th...
Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 10 months ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
GECCO
2005
Springer
148views Optimization» more  GECCO 2005»
15 years 10 months ago
Multiobjective VLSI cell placement using distributed genetic algorithm
Genetic Algorithms have worked fairly well for the VLSI cell placement problem, albeit with significant run times. Two parallel models for GA are presented for VLSI cell placemen...
Sadiq M. Sait, Mohammed Faheemuddin, Mahmood R. Mi...