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GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
14 years 5 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
ICC
2008
IEEE
117views Communications» more  ICC 2008»
14 years 5 months ago
Proactive Power Optimization of Sensor Networks
—We propose a reduced-complexity genetic algorithm for dynamic deployment of resource constrained multi-hop mobile sensor networks. The goal of this paper is to achieve optimal c...
Rahul Khanna, Huaping Liu, Hsiao-Hwa Chen
IPPS
1999
IEEE
14 years 3 months ago
Leonardo and Discipulus Simplex: An Autonomous, Evolvable Six-Legged Walking Robot
Evolutionary systems based on genetic algorithms GAs are common nowadays. One of the recent uses of such systems is in the burgeoning eld of evolvable hardware which involves, amo...
Gilles Ritter, Jean-Michel Puiatti, Eduardo Sanche...
ALIFE
2007
13 years 11 months ago
Evolving Virtual Creatures and Catapults
We present a system that can evolve the morphology and the controller of virtual walking and block-throwing creatures (catapults) using a genetic algorithm. The system is based on ...
Nicolas Chaumont, Richard Egli, Christoph Adami
ECP
1997
Springer
128views Robotics» more  ECP 1997»
14 years 3 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