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ECP
1997
Springer
128views Robotics» more  ECP 1997»
13 years 10 months 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
GECCO
2004
Springer
139views Optimization» more  GECCO 2004»
13 years 11 months ago
Chemical Genetic Programming - Coevolution Between Genotypic Strings and Phenotypic Trees
Chemical Genetic Programming (CGP) is a new method of genetic programming that introduced collision-based biochemical processes and realized dynamic mapping from genotypic strings ...
Wojciech Piaseczny, Hideaki Suzuki, Hidefumi Sawai
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
13 years 6 months ago
Memory with memory: soft assignment in genetic programming
Based in part on observations about the incremental nature of most state changes in biological systems, we introduce the idea of Memory with Memory in Genetic Programming (GP), wh...
Nicholas Freitag McPhee, Riccardo Poli
CASES
2006
ACM
13 years 11 months ago
A dynamic code placement technique for scratchpad memory using postpass optimization
In this paper, we propose a fully automatic dynamic scratchpad memory (SPM) management technique for instructions. Our technique loads required code segments into the SPM on deman...
Bernhard Egger, Chihun Kim, Choonki Jang, Yoonsung...
COR
2007
133views more  COR 2007»
13 years 5 months ago
Reverse logistics network design with stochastic lead times
This work is concerned with the efficient design of a reverse logistics network using an extended version of models currently found in the literature. Those traditional, basic mo...
Kris Lieckens, Nico Vandaele