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EUROGP
2005
Springer
123views Optimization» more  EUROGP 2005»
15 years 3 months ago
An Algorithmic Chemistry for Genetic Programming
Abstract. Genetic Programming has been slow at realizing other programming paradigms than conventional, deterministic, sequential vonNeumann type algorithms. In this contribution w...
Christian Lasarczyk, Wolfgang Banzhaf
ICCD
2001
IEEE
110views Hardware» more  ICCD 2001»
15 years 6 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...
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 3 months ago
Genetic algorithms using low-discrepancy sequences
The random number generator is one of the important components of evolutionary algorithms (EAs). Therefore, when we try to solve function optimization problems using EAs, we must ...
Shuhei Kimura, Koki Matsumura
EOR
2006
125views more  EOR 2006»
14 years 10 months ago
A genetic algorithm for robotic assembly line balancing
Flexibility and automation in assembly lines can be achieved by the use of robots. The robotic assembly line balancing (RALB) problem is defined for robotic assembly line, where d...
Gregory Levitin, Jacob Rubinovitz, Boris Shnits
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 3 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