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» Computational complexity and evolutionary computation
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SOFTCO
2004
Springer
16 years 2 days ago
Designing Neural Networks Using Gene Expression Programming
Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...
Cândida Ferreira
PPSN
1998
Springer
15 years 11 months ago
On Genetic Algorithms and Lindenmayer Systems
This paper describes a system for simulating the evolution of artificial 2D plant morphologies. Virtual plant genotypes are inspired by the mathematical formalism known as Lindenma...
Gabriela Ochoa
MICCAI
2003
Springer
16 years 7 months ago
Mesh Topology Identification for Mass-Spring Models
In surgical simulations, the two most popular approaches to model soft tissues are Finite Element Method (FEM) and Mass-Spring System (MSS). Main advantages of FEM are accuracy and...
Gábor Székely, Gérald Bianchi...
RECOMB
2007
Springer
16 years 7 months ago
Support Vector Training of Protein Alignment Models
Abstract. Sequence to structure alignment is an important step in homology modeling of protein structures. Incorporation of features like secondary structure, solvent accessibility...
Chun-Nam John Yu, Thorsten Joachims, Ron Elber, Ja...
SASO
2009
IEEE
16 years 1 months ago
Evolution of Probabilistic Consensus in Digital Organisms
—The complexity of distributed computing systems and their increasing interaction with the physical world impose challenging requirements in terms of adaptation, robustness, and ...
David B. Knoester, Philip K. McKinley