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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
15 years 7 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
15 years 7 months ago
Automated shape composition based on cell biology and distributed genetic programming
Motivated by the ability of living cells to form specific shapes and structures, we present a computational approach using distributed genetic programming to discover cell-cell i...
Linge Bai, Manolya Eyiyurekli, David E. Breen
BMCBI
2010
232views more  BMCBI 2010»
15 years 6 months ago
LucidDraw: Efficiently visualizing complex biochemical networks within MATLAB
Background: Biochemical networks play an essential role in systems biology. Rapidly growing network data and e research activities call for convenient visualization tools to aid i...
Sheng He, Juan Mei, Guiyang Shi, Zhengxiang Wang, ...
JCNS
2008
64views more  JCNS 2008»
15 years 6 months ago
Spike-frequency adaptation generates intensity invariance in a primary auditory interneuron
Adaptation of the spike-frequency response to constant stimulation, as observed on various timescales in many neurons, reflects high-pass filter properties of a neuron's tran...
Jan Benda, Matthias Hennig
JAIR
2006
179views more  JAIR 2006»
15 years 6 months ago
The Fast Downward Planning System
Fast Downward is a classical planning system based on heuristic search. It can deal with general deterministic planning problems encoded in the propositional fragment of PDDL2.2, ...
Malte Helmert