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GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
13 years 9 months ago
Denial of service detection and analysis using idiotypic networks paradigm
In this paper we present a novel intrusion detection architecture based on Idiotypic Network Theory (INIDS), that aims at dealing with large scale network attacks featuring variab...
Marek Ostaszewski, Pascal Bouvry, Franciszek Sered...
GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
13 years 9 months ago
VoIP speech quality estimation in a mixed context with genetic programming
Voice over IP (VoIP) speech quality estimation is crucial to providing optimal Quality of Service (QoS). This paper seeks to provide improved speech quality estimation models with...
Adil Raja, R. Muhammad Atif Azad, Colin Flanagan, ...
GECCO
2008
Springer
153views Optimization» more  GECCO 2008»
13 years 9 months ago
G-Metric: an M-ary quality indicator for the evaluation of non-dominated sets
An open problem in multiobjective optimization using the Pareto optimality criteria, is how to evaluate the performance of different evolutionary algorithms that solve multi– o...
Giovanni Lizárraga Lizárraga, Arturo...
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 9 months ago
Evolutionary path planner for UAVs in realistic environments
This paper presents a path planner for Unmanned Air Vehicles (UAVs) based on Evolutionary Algorithms (EA) that can be used in realistic risky scenarios. The path returned by the a...
Jesús Manuel de la Cruz, Eva Besada-Portas,...
GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
13 years 9 months ago
Mask functions for the symbolic modeling of epistasis using genetic programming
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
13 years 9 months ago
Unsupervised learning of echo state networks: balancing the double pole
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
Fei Jiang, Hugues Berry, Marc Schoenauer
GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
13 years 9 months ago
Combatting financial fraud: a coevolutionary anomaly detection approach
A major difficulty for anomaly detection lies in discovering boundaries between normal and anomalous behavior, due to the deficiency of abnormal samples in the training phase. In...
Shelly Xiaonan Wu, Wolfgang Banzhaf
HM
2010
Springer
157views Optimization» more  HM 2010»
13 years 9 months ago
Hybrid Heuristics for Dynamic Resource-Constrained Project Scheduling Problem
Dynamic Resource-Constrained Project Scheduling Problem (DRCPSP) is a scheduling problem that works with an uncommon kind of resources: the Dynamic Resources. They increase and dec...
André Renato Villela da Silva, Luiz Satoru ...
HM
2010
Springer
133views Optimization» more  HM 2010»
13 years 9 months ago
A Hybrid LS-CP Solver for the Shifts and Breaks Design Problem
The problem of designing workforce shifts and break patterns is a relevant employee scheduling problem that arises in many contexts, especially in service industries. The issue is ...
Luca Di Gaspero, Johannes Gärtner, Nysret Mus...