An artificial immune network for multimodal function optimization
By Leandro Nunes de Castro, J. Timmis. Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), 2002
622 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Biomedical Engineering, Immunology
View Paper: https://www.semanticscholar.org/paper/7de272e632438f3044f3e5838d85d18d7e0e2685
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Maoguo Gong
- Nareli Cruz-Cortés
- L. Jiao
- Liefeng Bo
- Haifeng Du
- Carlos Artemio Coello Coello
- Andrew B. Watkins
- Lois C. Boggess
In Biomedical Engineering
- J. Timmis
- L. Jiao
- Maoguo Gong
- Liefeng Bo
- Haifeng Du
- Carlos Artemio Coello Coello
- Nareli Cruz-Cortés
- Andrew B. Watkins
In Immunology
- J. Timmis
- Nareli Cruz-Cortés
- Carlos Artemio Coello Coello
- Andrew B. Watkins
- Lois C. Boggess
- Leandro Nunes de Castro
- Jonathan Timmis
- J. Mccall
Citations in the corpus
- Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection (2008, background): “Freschi and Repetto (2005) proposed a vector Artificial Immune System (VAIS) based on the multimodal optimization algorithm opt-aiNet ( de Castro and Timmis, 2002 ).”
- Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review (2020, methodology): “[165] the CLONALG-based [168] Artificial Immune System (AIS) algorithm, derived from the processes found in biological immune systems [169], is used to determine the aggregators’ pricing scheme.”
- Solving Multiobjective Optimization Problems Using an Artificial Immune System (2005, methodology): “(this number can be increased or decreased), in an analogous way to aiNet [ 33 ].”
- Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm (2004, positive): “aiNet was further extended to multimodal optimization tasks [ 8 ].”