DENSA: An effective negative selection algorithm with flexible boundaries for self-space and dynamic number of detectors
Authors:
- 1 June 2017
- journal article
- Published by Elsevier in Engineering Applications of Artificial Intelligence
- Vol. 62, 359-372
Abstract
No abstract availableKeywords
This publication has 30 references indexed in Scilit:
- Application of the feature-detection rule to the Negative Selection AlgorithmExpert Systems with Applications, 2013
- Clonal selection: an immunological algorithm for global optimization over continuous spacesJournal of Global Optimization, 2011
- Protein multiple sequence alignment by hybrid bio-inspired algorithmsNucleic Acids Research, 2010
- On discrete models and immunological algorithms for protein structure predictionNatural Computing, 2010
- An immune network inspired evolutionary algorithm for the diagnosis of Parkinson’s diseaseBioSystems, 2008
- Immune system approaches to intrusion detection – a reviewNatural Computing, 2007
- An immune algorithm with stochastic aging and kullback entropy for the chromatic number problemJournal of Combinatorial Optimization, 2006
- TTT plots: a perl program to create time-to-target plotsOptimization Letters, 2006
- Recent trends in computer applications in archaeologyJournal of Archaeological Research, 1998
- How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster AnalysisThe Computer Journal, 1998