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GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
13 years 8 months ago
Structure and parameter estimation for cell systems biology models
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconl comput...
Francisco José Romero-Campero, Hongqing Cao...
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
14 years 2 months ago
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Kenneth Holladay
TIP
2010
119views more  TIP 2010»
13 years 2 months ago
Trajectory Classification Using Switched Dynamical Hidden Markov Models
This paper proposes an approach for recognizing human activities (more specifically, pedestrian trajectories) in video sequences, in a surveillance context. A system for automatic ...
Jacinto C. Nascimento, Mário A. T. Figueire...
ICNC
2009
Springer
14 years 2 months ago
Estimating Strength of Concrete Using a Grammatical Evolution
The main purpose of this paper is to propose an incorporating a grammatical evolution (GE) into the genetic algorithm (GA), called GEGA, and apply it to estimate the compressive s...
Hsun-Hsin Hsu, Li Chen, Chang-Huan Kou, Tai-Sheng ...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 1 months ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....