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» A Grid-Oriented Genetic Algorithm
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111
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GECCO
2008
Springer
100views Optimization» more  GECCO 2008»
15 years 3 months ago
Optimizing hierarchical menus by genetic algorithm and simulated annealing
Hierarchical menus are now ubiquitous. The performance of the menu depends on many factors: structure, layout, colors and so on. There has been extensive research on novel menus, ...
Shouichi Matsui, Seiji Yamada
127
Voted
CIMCA
2005
IEEE
15 years 8 months ago
Comparison of Performance between Different Selection Strategies on Simple Genetic Algorithms
This paper presents the comparison of performance on a simple genetic algorithm (SGA) using roulette wheel selection and tournament selection. A SGA is mainly composed of three ge...
Jinghui Zhong, Xiaomin Hu, Jun Zhang, Min Gu
84
Voted
GECCO
2003
Springer
15 years 7 months ago
Coarse-Graining in Genetic Algorithms: Some Issues and Examples
Following the work of Stephens and coworkers on the coarse-grained dynamics of genetic systems, we work towards a possible generalisation in the context of genetic algorithms, givi...
Andrés Aguilar Contreras, Jonathan E. Rowe,...
EH
2002
IEEE
154views Hardware» more  EH 2002»
15 years 7 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 3 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...