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111
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GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
15 years 10 months ago
Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design
For computer-automated design systems to scale to complex designs they must be able to produce designs that exhibit the characteristics of modularity, regularity and hierarchy –...
Gregory Hornby
121
Voted
GECCO
2005
Springer
106views Optimization» more  GECCO 2005»
15 years 10 months ago
Fitness uniform deletion: a simple way to preserve diversity
A commonly experienced problem with population based optimisation methods is the gradual decline in population diversity that tends to occur over time. This can slow a system’s ...
Shane Legg, Marcus Hutter
135
Voted
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 10 months ago
Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants
Designing technical plants is a complex and demanding process. It has been shown that the optimization of the simple facility placement problem is already NP-hard. Optimization of...
Ingo Mierswa
120
Voted
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
15 years 10 months ago
Terrain generation using genetic algorithms
We propose a method for applying genetic algorithms to create 3D terrain data sets. Existing procedural algorithms for generation of terrain have several shortcomings. The most po...
TeongJoo Ong, Ryan Saunders, John Keyser, John J. ...
GECCO
2005
Springer
117views Optimization» more  GECCO 2005»
15 years 10 months ago
A study of evolutionary robustness in stochastically tiled polyominos
Given an evolutionary optimization problem with many possible genotypes for each phenotype this study investigates if the evolved genes for a given phenotype are more robust to po...
Justin Schonfeld, Daniel A. Ashlock
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