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» Adapting Representation in Genetic Programming
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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
2000
Springer
109views Optimization» more  GECCO 2000»
13 years 11 months ago
GP+Echo+Subsumption = Improved Problem Solving
Real-time, adaptive control is a difficult problem that can be addressed by EC architectures. We are interested in incorporating into an EC architecture some of the features that ...
William F. Punch, W. M. Rand
EUROGP
1999
Springer
166views Optimization» more  EUROGP 1999»
13 years 12 months ago
Adapting the Fitness Function in GP for Data Mining
In this paper we describe how the Stepwise Adaptation of Weights (saw) technique can be applied in genetic programming. The saw-ing mechanism has been originally developed for and ...
Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert
WAE
2001
223views Algorithms» more  WAE 2001»
13 years 9 months ago
An Adaptable and Extensible Geometry Kernel
Geometric algorithms are based on geometric objects such as points, lines and circles. The term Kernel refers to a collection of representations for constant-size geometric objects...
Susan Hert, Michael Hoffmann, Lutz Kettner, Sylvai...
EVOW
2005
Springer
14 years 1 months ago
Evolving Reversible Circuits for the Even-Parity Problem
Reversible computing basically means computation with less or not at all electrical power. Since the standard binary gates are not usually reversible we use the Fredkin gate in ord...
Mihai Oltean