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» On the practical genetic algorithms
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EH
2002
IEEE
154views Hardware» more  EH 2002»
15 years 11 months ago
Evolving Quantum Circuits Using Genetic Algorithm
: In this paper we focus on a general approach of using genetic algorithm (GA) to evolve Quantum circuits (QC). We propose a generic GA to evolve arbitrary quantum circuit specifie...
Martin Lukac, Marek A. Perkowski
ICPR
2006
IEEE
16 years 7 months ago
Approximation of Digital Curves using a Multi-Objective Genetic Algorithm
In this paper, a digital planar curve approximation method based on a multi-objective genetic algorithm is proposed. In this method, the optimization/exploration algorithm locates...
Hervé Locteau, Romain Raveaux, Sébas...
IMECS
2007
15 years 7 months ago
A Genetic Algorithm for Optimizing Facility Layout in a Wafer Fab
—In this research, the Genetic Algorithm (GA) and Space-Filling Curve (SFC) are combined along with the use of Taguchi method for finding the optimal combination of parameters. T...
Michael H. Hu, Meei-Yuh Ku, Chao-Chi Chen
CEC
2008
IEEE
16 years 26 days ago
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis
— The high-level synthesis process involves three interdependent and NP-complete optimization problems: (i) the operation scheduling, (ii) the resource allocation, and (iii) the ...
Christian Pilato, Daniele Loiacono, Fabrizio Ferra...
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 12 months ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste