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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 4 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
103
Voted
ICMCS
2006
IEEE
128views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Image Watermarking based on Genetic Algorithm
In order to improve the robustness and imperceptibleness of the image spread spectrum watermark algorithm, a new approach for optimization in 8×8 DCT domain using genetic algorit...
Zhicheng Wei, Hao Li, Jufeng Dai, Sashuang Wang
153
Voted
ICTAI
1997
IEEE
15 years 7 months ago
Exploiting Symbolic Techniques within Genetic Algorithms for Power Optimization
This paper proposes an optimization algorithm for reducing the power dissipation in a sequential circuit. The encoding of the different states in a Finite State Machine is modifie...
S. Chuisano, Fulvio Corno, Paolo Prinetto, Maurizi...
CEC
2005
IEEE
15 years 5 months ago
A new approach to dynamics analysis of genetic algorithms without selection
Abstract- Theoretical analysis of the dynamics of evolutionary algorithms is believed to be very important to understand the search behavior of evolutionary algorithms and to devel...
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
109
Voted
GPEM
2006
89views more  GPEM 2006»
15 years 3 months ago
Morphological algorithm design for binary images using genetic programming
This paper presents a Genetic Programming (GP) approach to the design of Mathematical Morphology (MM) algorithms for binary images. The algorithms are constructed using logic opera...
Marcos I. Quintana, Riccardo Poli, Ela Claridge