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ICARIS
2007
Springer
13 years 11 months ago
An Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Comp
Today’s signature-based intrusion detection systems are reactive in nature and storage-limited. Their operation depends upon catching an instance of an intrusion or virus and en...
Charles R. Haag, Gary B. Lamont, Paul D. Williams,...
GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
13 years 10 months ago
Artificial immune system for solving generalized geometric problems: a preliminary results
Generalized geometric programming (GGP) is an optimization method in which the objective function and constraints are nonconvex functions. Thus, a GGP problem includes multiple lo...
Jui-Yu Wu, Yun-Kung Chung
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
13 years 10 months ago
RABNET: a real-valued antibody network for data clustering
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
Helder Knidel, Leandro Nunes de Castro, Fernando J...
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
13 years 10 months ago
A Comment on Opt-AiNET: An Immune Network Algorithm for Optimisation
Verifying the published results of algorithms is part of the usual research process. This helps to both validate the existing literature, but also quite often allows for new insigh...
Jon Timmis, Camilla Edmonds
CEC
2010
IEEE
13 years 5 months ago
Multi-objective mobile agent-based Sensor Network Routing using MOEA/D
Abstract— Mobile agents are often used in wireless sensor networks for distributed target detection with the goal of minimizing the transmission of non-critical data that negativ...
Andreas Konstantinidis 0002, Christoforos Charalam...