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» Modelling Bounded Rationality Using Evolutionary Techniques
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ICANNGA
2009
Springer
212views Algorithms» more  ICANNGA 2009»
15 years 12 months ago
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric L...
CORR
2011
Springer
230views Education» more  CORR 2011»
15 years 8 days ago
Computational Rationalization: The Inverse Equilibrium Problem
Modeling the behavior of imperfect agents from a small number of observations is a difficult, but important task. In the singleagent decision-theoretic setting, inverse optimal co...
Kevin Waugh, Brian Ziebart, J. Andrew Bagnell
BMCBI
2010
113views more  BMCBI 2010»
15 years 5 months ago
Prediction of FAD interacting residues in a protein from its primary sequence using evolutionary information
Background: Flavin binding proteins (FBP) plays a critical role in several biological functions such as electron transport system (ETS). These flavoproteins contain very tightly b...
Nitish K. Mishra, Gajendra P. S. Raghava
PPSN
2004
Springer
15 years 10 months ago
Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models
Abstract. The paper describes an evolutionary algorithm for the general nonlinear programming problem using a surrogate model. Surrogate models are used in optimization when model ...
Thomas Philip Runarsson
DATE
2005
IEEE
176views Hardware» more  DATE 2005»
15 years 11 months ago
Effective Lower Bounding Techniques for Pseudo-Boolean Optimization
Linear Pseudo-Boolean Optimization (PBO) is a widely used modeling framework in Electronic Design Automation (EDA). Due to significant advances in Boolean Satisfiability (SAT), ...
Vasco M. Manquinho, João P. Marques Silva