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GECCO
2008
Springer
100views Optimization» more  GECCO 2008»
13 years 10 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
CIMCA
2005
IEEE
14 years 3 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
GECCO
2003
Springer
14 years 2 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»
14 years 2 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
14 years 10 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...