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GECCO
2007
Springer
206views Optimization» more  GECCO 2007»
14 years 5 months ago
Genetically generated double-level fuzzy controller with a fuzzy adjustment strategy
Sofiane Achiche, Wei Wang, Zhun Fan, Ali Gürc...
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 5 months ago
Dendritic cells for SYN scan detection
Artificial immune systems have previously been applied to the problem of intrusion detection. The aim of this research is to develop an intrusion detection system based on the fu...
Julie Greensmith, Uwe Aickelin
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
14 years 5 months ago
Generating large-scale neural networks through discovering geometric regularities
Connectivity patterns in biological brains exhibit many repeating motifs. This repetition mirrors inherent geometric regularities in the physical world. For example, stimuli that ...
Jason Gauci, Kenneth O. Stanley
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
14 years 5 months ago
Using group selection to evolve leadership in populations of self-replicating digital organisms
This paper describes a study in the evolution of distributed cooperative behavior, specifically leader election, through digital evolution and group selection. In digital evoluti...
David B. Knoester, Philip K. McKinley, Charles Ofr...
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
14 years 5 months ago
Hill climbing on discrete HIFF: exploring the role of DNA transposition in long-term artificial evolution
We show how a random mutation hill climber that does multilevel selection utilizes transposition to escape local optima on the discrete Hierarchical-If-And-Only-If (HIFF) problem....
Susan Khor
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 5 months ago
Screening the parameters affecting heuristic performance
This research screens the tuning parameters of a combinatorial optimization heuristic. Specifically, it presents a Design of Experiments (DOE) approach that uses a Fractional Fac...
Enda Ridge, Daniel Kudenko
GECCO
2007
Springer
196views Optimization» more  GECCO 2007»
14 years 5 months ago
An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem
An Estimation of Distribution Algorithm (EDA) is proposed to approach the Hybrid Flow Shop with Sequence Dependent Setup Times and Uniform Machines in parallel (HFSSDST-UM) proble...
Abdellah Salhi, José Antonio Vázquez...
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 5 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 5 months ago
SDR: a better trigger for adaptive variance scaling in normal EDAs
Recently, advances have been made in continuous, normal– distribution–based Estimation–of–Distribution Algorithms (EDAs) by scaling the variance up from the maximum–like...
Peter A. N. Bosman, Jörn Grahl, Franz Rothlau...
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 5 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels