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GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
14 years 2 months ago
Backward-chaining genetic programming
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tournament selection chooses individuals uniformly at random from the population. A...
Riccardo Poli, William B. Langdon
SAC
2006
ACM
13 years 8 months ago
Challenges in the compilation of a domain specific language for dynamic programming
Many combinatorial optimization problems in biosequence analysis are solved via dynamic programming. To increase programming productivity and program reliability, a domain specifi...
Robert Giegerich, Peter Steffen
GECCO
1999
Springer
167views Optimization» more  GECCO 1999»
14 years 1 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
WSCG
2003
142views more  WSCG 2003»
13 years 10 months ago
Dynamic Radiosity using Higher Order Functions Bases and Temporal Coherence
The computation of global illumination in a dynamic scene constitutes a real challenge in computer graphics. In radiosity algorithms, this problem is far from being easy, especial...
Venceslas Biri, Sylvain Michelin, Didier Arqu&egra...
GECCO
2007
Springer
130views Optimization» more  GECCO 2007»
14 years 2 months ago
Variable discrimination of crossover versus mutation using parameterized modular structure
Recent work has provided functions that can be used to prove a principled distinction between the capabilities of mutation-based and crossover-based algorithms. However, prior fun...
Rob Mills, Richard A. Watson