Sciweavers

GECCO
2004
Springer
13 years 10 months ago
Virtual Ramping of Genetic Programming Populations
Abstract. Genetic Programming often uses excessive computational resources because the population size and the maximum number of generations per run are not optimized. We have deve...
Thomas Fernandez
GECCO
2004
Springer
13 years 10 months ago
Memetic Crossover for Genetic Programming: Evolution Through Imitation
For problems where the evaluation of an individual is the dominant factor in the total computation time of the evolutionary process, minimizing the number of evaluations becomes cr...
Brent E. Eskridge, Dean F. Hougen
GECCO
2004
Springer
128views Optimization» more  GECCO 2004»
13 years 10 months ago
An Informed Operator Based Genetic Algorithm for Tuning the Reaction Rate Parameters of Chemical Kinetics Mechanisms
A reduced model technique based on a reduced number of numerical simulations at a subset of operating conditions for a perfectly stirred reactor is developed in order to increase t...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
GECCO
2004
Springer
143views Optimization» more  GECCO 2004»
13 years 10 months ago
Efficient Clustering-Based Genetic Algorithms in Chemical Kinetic Modelling
Two efficient clustering-based genetic algorithms are developed for the optimisation of reaction rate parameters in chemical kinetic modelling. The genetic algorithms employed are ...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
13 years 10 months ago
Analysis of the (1+1) EA for a Noisy OneMax
Abstract. In practical applications evaluating a fitness function is frequently subject to noise, i. e., the “true fitness” is disturbed by some random variations. Evolutiona...
Stefan Droste
GECCO
2004
Springer
212views Optimization» more  GECCO 2004»
13 years 10 months ago
An Evolutionary Autonomous Agent with Visual Cortex and Recurrent Spiking Columnar Neural Network
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...
GECCO
2004
Springer
13 years 10 months ago
Distributed Constraint Satisfaction, Restricted Recombination, and Hybrid Genetic Search
In this paper, we present simple and genetic forms of an evolutionary paradigm known as a society of hill-climbers (SoHC). We compare these simple and genetic SoHCs on a test suite...
Gerry V. Dozier, Hurley Cunningham, Winard Britt, ...
GECCO
2004
Springer
121views Optimization» more  GECCO 2004»
13 years 10 months ago
Vulnerability Analysis of Immunity-Based Intrusion Detection Systems Using Evolutionary Hackers
Artificial Immune Systems (AISs) are biologically inspired problem solvers that have been used successfully as intrusion detection systems (IDSs). This paper describes how the des...
Gerry V. Dozier, Douglas Brown, John Hurley, Kryst...
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
13 years 10 months ago
Multi-agent Foreign Exchange Market Modelling Via GP
In this work genetic programming is used to express and evolve trading strategies for a foreign exchange currency market simulator.
Stephen Dignum, Riccardo Poli
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
13 years 10 months ago
Using a Genetic Algorithm to Design and Improve Storage Area Network Architectures
Abstract. Designing storage area networks is an NP-hard problem. Previous work has focused on traditional algorithmic techniques to automatically determine fabric requirements, net...
Elizabeth Dicke, Andrew Byde, Paul J. Layzell, Dav...