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110
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GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
15 years 3 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu
ESA
2008
Springer
106views Algorithms» more  ESA 2008»
15 years 4 months ago
An Experimental Analysis of Robinson-Foulds Distance Matrix Algorithms
In this paper, we study two fast algorithms--HashRF and PGM-Hashed--for computing the Robinson-Foulds (RF) distance matrix between a collection of evolutionary trees. The RF distan...
Seung-Jin Sul, Tiffani L. Williams
ROBOCUP
2004
Springer
114views Robotics» more  ROBOCUP 2004»
15 years 8 months ago
Evolutionary Gait-Optimization Using a Fitness Function Based on Proprioception
Abstract. This paper presents a new approach to optimize gait parameter sets using evolutionary algorithms. It separates the crossover-step of the evolutionary algorithm into an in...
Thomas Röfer
100
Voted
GECCO
2006
Springer
127views Optimization» more  GECCO 2006»
15 years 6 months ago
Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry
This paper studies the effectiveness of multiobjective genetic and evolutionary algorithms in multiscaling excited state direct dynamics in photochemistry via rapid reparameteriza...
Kumara Sastry, D. D. Johnson, Alexis L. Thompson, ...
126
Voted
EC
2006
136views ECommerce» more  EC 2006»
15 years 2 months ago
Error Thresholds in Genetic Algorithms
The error threshold of replication is an important notion of the quasispecies evolution model; it is a critical mutation rate (error rate) beyond which structures obtained by an e...
Gabriela Ochoa