A mathematical analysis of the Genetic-AIRS classification algorithm. Mathioudakis, D., Sotiropoulos, D., & Tsihrintzis, G. A. In 2016 24th European Signal Processing Conference (EUSIPCO), pages 26-30, Aug, 2016.
A mathematical analysis of the Genetic-AIRS classification algorithm [pdf]Paper  doi  abstract   bibtex   
This paper presents the inception and the basic concepts of a hybrid classification algorithm called Genetic-AIRS [1]. Genetic-AIRS, is a combination of the Artificial Immune Resource System (AIRS) algorithm witch uses evolutionary computation techniques. An analysis is presented to determine the final algorithm architecture and parameters. The paper also includes an experimental evaluation on various publicly available datasets of Genetic-AIRS vs AIRS.
@InProceedings{7760203,
  author = {D. Mathioudakis and D. Sotiropoulos and G. A. Tsihrintzis},
  booktitle = {2016 24th European Signal Processing Conference (EUSIPCO)},
  title = {A mathematical analysis of the Genetic-AIRS classification algorithm},
  year = {2016},
  pages = {26-30},
  abstract = {This paper presents the inception and the basic concepts of a hybrid classification algorithm called Genetic-AIRS [1]. Genetic-AIRS, is a combination of the Artificial Immune Resource System (AIRS) algorithm witch uses evolutionary computation techniques. An analysis is presented to determine the final algorithm architecture and parameters. The paper also includes an experimental evaluation on various publicly available datasets of Genetic-AIRS vs AIRS.},
  keywords = {artificial immune systems;genetic algorithms;pattern classification;genetic-AIRS classification algorithm;artificial immune resource system algorithm;evolutionary computation techniques;Immune system;Detectors;Training;Signal processing algorithms;Genetic algorithms;Algorithm design and analysis;Artificial immune system;Genetic algorithm;Evolutionary computation;Machine learning;Classification},
  doi = {10.1109/EUSIPCO.2016.7760203},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2016/papers/1570252103.pdf},
}
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