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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 8 months ago
Parisian evolution with honeybees for three-dimensional reconstruction
This paper introduces a novel analogy with the way in which honeybee colonies operate in order to solve the problem of sparse and quasi dense reconstruction. To successfully solve...
Gustavo Olague, Cesar Puente
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 8 months ago
Identification of weak motifs in multiple biological sequences using genetic algorithm
Recognition of motifs in multiple unaligned sequences provides an insight into protein structure and function. The task of discovering these motifs is very challenging because mos...
Topon Kumar Paul, Hitoshi Iba
GECCO
2006
Springer
291views Optimization» more  GECCO 2006»
15 years 8 months ago
Modular thinking: evolving modular neural networks for visual guidance of agents
This paper investigates whether replacing non-modular artificial neural network brains of visual agents with modular brains improves their ability to solve difficult tasks, specif...
Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto
176
Voted
ATAL
2003
Springer
15 years 8 months ago
Agent memory and adaptation in multi-agent systems
We describe a general mechanism for adaptation in multiagent systems in which agents modify their behavior based on their memory of past events. These behavior changes can be elic...
Kristina Lerman, Aram Galstyan
IDEAL
2000
Springer
15 years 8 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén