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» Evolutionary Computation for Modeling and Optimization
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CIBCB
2008
IEEE
16 years 27 days ago
Discovering novel cancer therapies: A computational modeling and search approach
— Solid tumors must recruit new blood vessels for growth and maintenance. Discovering drugs that block this tumor-induced development of new blood vessels (angiogenesis) is an im...
Arthur W. Mahoney, Brian G. Smith, Nicholas S. Fla...
GIS
1999
ACM
15 years 10 months ago
A Provably Efficient Computational Model for Approximate Spatiotemporal Retrieval
: The paper is concerned with the effective and efficient processing of spatiotemporal selection queries under varying degrees of approximation. Such queries may employ operators l...
Vasilis Delis, Christos Makris, Spyros Sioutas
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 10 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
ICCS
2003
Springer
15 years 11 months ago
Mantle Convection Modeling with Viscoelastic/Brittle Lithosphere: Numerical and Computational Methodology
The Earth’s tectonic plates are strong, viscoelastic shells which make up the outermost part of a thermally convecting, predominantly viscous layer; at the boundaries between pla...
Louis Moresi, David May, Justin Freeman, Bill F. A...
PPSN
2010
Springer
15 years 4 months ago
Defining and Optimizing Indicator-Based Diversity Measures in Multiobjective Search
Abstract. In this paper, we elaborate how decision space diversity can be integrated into indicator-based multiobjective search. We introduce DIOP, the diversity integrating multio...
Tamara Ulrich, Johannes Bader, Lothar Thiele