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» Dynamic Control of Genetic Algorithms in a Noisy Environment
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GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
13 years 9 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu
PPSN
1994
Springer
14 years 18 days ago
Genetic L-System Programming
We present the Genetic L-System Programming (GLP) paradigm for evolutionary creation and development of parallel rewrite systems (Lsystems, Lindenmayer-systems) which provide a com...
Christian Jacob
ECP
1997
Springer
128views Robotics» more  ECP 1997»
14 years 20 days ago
SINERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Ion Muslea
EVOW
2006
Springer
14 years 5 days ago
The Effect of Building Block Construction on the Behavior of the GA in Dynamic Environments: A Case Study Using the Shaky Ladder
The shaky ladder hyperplane-defined functions (sl-hdf's) are a test suite utilized for exploring the behavior of the genetic algorithm (GA) in dynamic environments. We present...
William Rand, Rick L. Riolo
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
14 years 2 months ago
Resource-limited genetic programming: the dynamic approach
Resource-Limited Genetic Programming is a bloat control technique that imposes a single limit on the total amount of resources available to the entire population, where resources ...
Sara Silva, Ernesto Costa