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GECCO
2006
Springer
121views Optimization» more  GECCO 2006»
15 years 9 months ago
A splicing/decomposable encoding and its novel operators for genetic algorithms
In this paper, we introduce a new genetic representation -- a splicing/decomposable (S/D) binary encoding, which was proposed based on some theoretical guidance and existing recom...
Yong Liang, Kwong-Sak Leung, Kin-Hong Lee
ICPR
2008
IEEE
15 years 12 months ago
Constrained piecewise linear approximation of digital curves
We have considered a problem of continuous piecewise linear approximation of the digital curves with a minimum number of the line segments. Fast suboptimal algorithm for constrain...
Alexander Kolesnikov
170
Voted
TEC
2008
150views more  TEC 2008»
15 years 5 months ago
AbYSS: Adapting Scatter Search to Multiobjective Optimization
We propose the use of a new algorithm to solve multiobjective optimization problems. Our proposal adapts the well-known scatter search template for single objective optimization to...
Antonio J. Nebro, Francisco Luna, Enrique Alba, Be...
TSE
2010
136views more  TSE 2010»
15 years 3 months ago
A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search
Search based optimization techniques have been applied to structural software test data generation since 1992, with a recent upsurge in interest and activity within this area. How...
Mark Harman, Phil McMinn
136
Voted
GECCO
2005
Springer
117views Optimization» more  GECCO 2005»
15 years 11 months ago
Directional self-learning of genetic algorithm
In order to overcome the low convergence speed and prematurity of classical genetic algorithm, an improved method named directional self-learning of genetic algorithm (DSLGA) is p...
Lin Cong, Yuheng Sha, Licheng Jiao, Fang Liu