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» Representations for evolutionary algorithms
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113
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GPEM
2007
71views more  GPEM 2007»
15 years 3 months ago
Integrating generative growth and evolutionary computation for form exploration
We present a novel means of algorithmically describing a growth process that is an extension of Lindenmayer’s Map L-systems. This growth process relies upon a set of rewrite rule...
Una-May O'Reilly, Martin Hemberg
GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
15 years 8 months ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim
132
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GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
15 years 7 months ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
15 years 7 months ago
Automating the drug scheduling with different toxicity clearance in cancer chemotherapy via evolutionary computation
The toxicity of an anticancer drug is cleared from the body by different processes, including saturable metabolic and nonsaturable renal-excretion pathways. According to the princ...
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
112
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BIOCOMP
2006
15 years 5 months ago
Using Neural Nets to Estimate Evolutionary Parameters
- The rapid growth in the amount of molecular genetic data being collected will, in many cases, require the development of new analytic methods for the analysis of that data. In th...
Chi-Chiang Lee, Paul Marjoram