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» Solving iterated functions using genetic programming
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GECCO
2000
Springer
168views Optimization» more  GECCO 2000»
13 years 11 months ago
A Fault-tolerant Multicast Routing Algorithm in ATM Networks
This paper presents a genetic algorithm based method to solve the capacity and routing assignment problem arising in the design of selfhealing networks using the Virtual Path (VP)...
Sam Kwong, S. S. Chan
FLAIRS
2008
13 years 9 months ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson
WSC
2004
13 years 8 months ago
Solving Stochastic Mathematical Programs with Complementarity Constraints Using Simulation
Recently, simulation-based methods have been successfully used for solving challenging stochastic optimization problems and equilibrium models. Here we report some of the recent p...
S. Ilker Birbil, Gül Gürkan, Ovidiu List...
AIPRF
2007
13 years 8 months ago
Empirical Study: Initial Population Diversity and Genetic Algorithm Performance
This article presents an empirical study regarding the hypothesis that higher diversity in initial populations for Genetic Algorithms can reduce the number of iterations required ...
Pedro A. Diaz-Gomez, Dean F. Hougen
EUROGP
2007
Springer
144views Optimization» more  EUROGP 2007»
14 years 1 months ago
Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP
This work analyzes fitness landscapes for the image filter design problem approached using functional-level Cartesian Genetic Programming. Smoothness and ruggedness of fitness l...
Karel Slaný, Lukás Sekanina