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AIPRF
2007
11 years 11 months ago
Empirical Study: Initial Population Diversity and Genetic Algorithm Performance
This article presents an empirical study regarding the hypothesis that higher diversity in initial populations for Genetic Algorithms can reduce the number of iterations required ...
Pedro A. Diaz-Gomez, Dean F. Hougen
EVOW
2010
Springer
11 years 11 months ago
A Study of Memetic Search with Multi-parent Combination for UBQP
We present a multi-parent hybrid genetic
Zhipeng Lü, Jin-Kao Hao, Fred Glover
EVOW
2008
Springer
11 years 11 months ago
An Evolutionary Approach for Ontology Driven Image Interpretation
Image mining and interpretation is a quite complex process. In this article, we propose to model expert knowledge on objects present in an image through an ontology. This ontology ...
Germain Forestier, Sébastien Derivaux, C&ea...
EVOW
2008
Springer
11 years 11 months ago
Improving Query Expansion with Stemming Terms: A New Genetic Algorithm Approach
Nowadays, searching information in the web or in any kind of document collection has become one of the most frequent activities. However, user queries can be formulated in a way th...
Lourdes Araujo, José R. Pérez-Ag&uum...
CEC
2007
IEEE
11 years 11 months ago
Random search can outperform mutation
— Efficient discovery of lowest level building blocks is a fundamental requirement for a successful genetic algorithm. Although considerable effort has been directed at techniqu...
Cameron Skinner, Patricia J. Riddle
ACRI
2006
Springer
11 years 11 months ago
From Cells to Islands: An Unified Model of Cellular Parallel Genetic Algorithms
Abstract. This paper presents the Anisotropic selection scheme for cellular Genetic Algorithms (cGA). This new scheme allows to enhance diversity and to control the selective press...
David Simoncini, Philippe Collard, Sébastie...
CHI
2008
ACM
11 years 12 months ago
Genetic algorithm can optimize hierarchical menus
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
WSC
2007
12 years 5 days ago
Optimal scheduling of probabilistic repetitive projects using completed unit and genetic algorithms
In this paper we introduce the completed unit algorithm (CU-AL), a probabilistic scheduling methodology for repetitive projects. The algorithm has two main advantages, simplicity ...
Chachrist Srisuwanrat, Photios G. Ioannou
AAAI
2008
12 years 5 days ago
Visualization of Large-Scale Weighted Clustered Graph: A Genetic Approach
In this paper, a bottom-up hierarchical genetic algorithm is proposed to visualize clustered data into a planar graph. To achieve global optimization by accelerating local optimiz...
Jiayu Zhou, Youfang Lin, Xi Wang
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
12 years 1 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
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