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GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
15 years 7 months ago
gLINC: identifying composability using group perturbation
We present two novel perturbation-based linkage learning algorithms that extend LINC [5]; a version of LINC optimised for decomposition tasks (oLINC) and a hierarchical version of...
David Jonathan Coffin, Christopher D. Clack
GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
15 years 8 months ago
Structural and Functional Sequence Test of Dynamic and State-Based Software with Evolutionary Algorithms
Evolutionary Testing (ET) has been shown to be very successful for testing real world applications [10]. The original ET approach focusesonsearching for a high coverage of the test...
André Baresel, Hartmut Pohlheim, Sadegh Sad...
GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
15 years 8 months ago
An artificial immune system algorithm for CDMA multiuser detection over multi-path channels
Based on the Antibody Clonal Selection Theory of immunology, we put forward a novel clonal selection algorithm for multiuser detection in Code-division Multiple-access Systems. By...
Maoguo Gong, Ling Wang, Licheng Jiao, Haifeng Du
KES
2006
Springer
15 years 3 months ago
Scheduling Jobs on Computational Grids Using Fuzzy Particle Swarm Algorithm
Abstract. Grid computing is a computing framework to meet the growing computational demands. This paper introduces a novel approach based on Particle Swarm Optimization (PSO) for s...
Ajith Abraham, Hongbo Liu, Weishi Zhang, Tae-Gyu C...
EVOW
2008
Springer
15 years 5 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...