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122
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WCRE
2008
IEEE
15 years 7 months ago
Discovering New Change Patterns in Object-Oriented Systems
Modern software has to evolve to meet the needs of stakeholders; but the nature and scope of this evolution is difficult to anticipate and manage. In this paper, we examine techn...
Stéphane Vaucher, Houari A. Sahraoui, Jean ...
GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
15 years 1 months ago
Cooperative network construction using digital germlines
This paper describes a study in the evolution of cooperative behavior, specifically the construction of communication networks, through digital evolution and multilevel selection...
David B. Knoester, Philip K. McKinley, Charles Ofr...
ASC
2010
15 years 22 days ago
Genotype representations in grammatical evolution
Grammatical evolution (GE) is a form of grammar-based genetic programming. A particular feature of GE is that it adopts a distinction between the genotype and phenotype similar to...
Jonatan Hugosson, Erik Hemberg, Anthony Brabazon, ...
102
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Functional estimation in Hilbert space for distributed learning in wireless sensor networks
In this paper, we propose a distributed learning strategy in wireless sensor networks. Taking advantage of recent developments on kernel-based machine learning, we consider a new ...
Paul Honeine, Cédric Richard, José C...
102
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GECCO
2005
Springer
219views Optimization» more  GECCO 2005»
15 years 6 months ago
An evolutionary lagrangian method for the 0/1 multiple knapsack problem
We propose a new evolutionary approach to solve the 0/1 multiple knapsack problem. We approach the problem from a new viewpoint different from traditional methods. The most remar...
Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon