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» Dynamic populations in genetic algorithms
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133
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GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
15 years 8 months ago
Overcoming hierarchical difficulty by hill-climbing the building block structure
The Building Block Hypothesis suggests that Genetic Algorithms (GAs) are well-suited for hierarchical problems, where efficient solving requires proper problem decomposition and a...
David Iclanzan, Dan Dumitrescu
GECCO
2008
Springer
180views Optimization» more  GECCO 2008»
15 years 5 months ago
An agent-based collaborative evolutionary model for multimodal optimization
A novel approach to multimodal optimization called Roaming Agent-Based Collaborative Evolutionary Model (RACE) combining several evolutionary techniques with agent-based modeling ...
Rodica Ioana Lung, Camelia Chira, Dumitru Dumitres...
EC
2010
133views ECommerce» more  EC 2010»
15 years 4 months ago
Interactive EC Control of Synthesized Timbre
Perhaps the biggest limitation of interactive EC is the fitness evaluation bottleneck, caused by slow user evaluation and leading to small populations and user fatigue. In this st...
James McDermott, Michael O'Neill, Niall J. L. Grif...
181
Voted
CVPR
2010
IEEE
15 years 3 months ago
Rapid and accurate developmental stage recognition of C. elegans from high-throughput image data
We present a hierarchical principle for object recognition and its application to automatically classify developmental stages of C. elegans animals from a population of mixed stag...
Amelia White, Huey-Ling Kao, Patricia Cipriani, Br...
EC
2008
103views ECommerce» more  EC 2008»
15 years 4 months ago
A Graphical Model for Evolutionary Optimization
We present a statistical model of empirical optimization that admits the creation of algorithms with explicit and intuitively defined desiderata. Because No Free Lunch theorems di...
Christopher K. Monson, Kevin D. Seppi