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GECCO
2005
Springer
144views Optimization» more  GECCO 2005»
13 years 10 months ago
Multiobjective hBOA, clustering, and scalability
This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominat...
Martin Pelikan, Kumara Sastry, David E. Goldberg
BIS
2008
114views Business» more  BIS 2008»
13 years 6 months ago
Transforming Exchange-based Job Boards into Lasting Career Communities
Abstract. In this paper, we use a qualitative approach to explore which design aspects an erecruiting platform requires so as to achieve active long-term participation of its users...
Elfi Ettinger, Celeste Wilderom, Rolf Van Dick
ASPDAC
2007
ACM
124views Hardware» more  ASPDAC 2007»
13 years 9 months ago
BddCut: Towards Scalable Symbolic Cut Enumeration
While the covering algorithm has been perfected recently by the iterative approaches, such as DAOmap and IMap, its application has been limited to technology mapping. The main fact...
Andrew C. Ling, Jianwen Zhu, Stephen Dean Brown
ICPR
2010
IEEE
13 years 7 months ago
Toward Massive Scalability in Image Matching
A method for image matching from partial blurry images is presented that leverages existing text retrieval algorithms to provide a solution that scales to hundreds of thousands of...
Jorge Moraleda, Jonathan Hull
CEC
2007
IEEE
13 years 11 months ago
A fractal representation for real optimization
— The chaos game, in which a moving point is repeatedly averaged toward randomly selected vertices of a triangle, is one method of generating the fractal called the Sierpinski tr...
Daniel A. Ashlock, Justin Schonfeld