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PPSN
1998
Springer
13 years 11 months ago
Comparison of Evolutionary Algorithms for Design Optimization
The production of specimen for microsystems or microcomponents is both, time and material-consuming. In a traditional design process the number of possible variations which can be ...
Wilfried Jakob, Martina Gorges-Schleuter, Ingo Sie...
GECCO
1999
Springer
167views Optimization» more  GECCO 1999»
13 years 12 months ago
A Biologically Inspired Fitness Function for Robotic Grasping
This paper describes the innovative use of genetic programming (GP) to solve the grasp synthesis problem for multifingered robot hands. The goal of our algorithm is to select a Ò...
J. Jaime Fernandez, Ian D. Walker
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 1 months ago
On the behavioral diversity of random programs
Generating a random sampling of program trees with specified function and terminal sets is the initial step of many program evolution systems. I present a theoretical and experim...
Moshe Looks
GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
14 years 1 months ago
Evolving an ecology of two-tiered organizations
Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational”...
Travis Kriplean
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
14 years 2 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf