I. Aim and Scope
Immune Computation, also known as \”Artificial Immune System\”, is a fast developing research area in the Computational Intelligence community. As a kind of computationally intelligent systems, Artificial Immune Systems (AISs) are inspired by the information processing mechanism of biological immune system.
The typical models/algorithms of AISs include Clonal Selection Algorithms, Negative Selection Algorithms, Immune Network Algorithms, Dendritic Cell Algorithms, Negative Databases, Negative Surveys, and so on. The models/algorithms of AISs have been applied into various applications, including networking and computer security, data privacy, optimization, data mining, automation and design, anomaly detection, bioinformatics, pattern recognition, etc.
The aims of this special issue are: (1) to present the state-of-the-art research on Artificial immune systems; (2) to provide a forum for experts to disseminate their recent advances and views on future perspectives in the field.
Following the development of AISs, the topics of this special issue include two aspects. First, contributions on immune algorithms and applications are very welcome. Second, contributions on modeling biological immune systems are also welcome, but potential usages for developing computationally intelligent systems should be clearly stated.
Topics of interest include, but are not limited to:
1. Immune algorithms and Applications
Immune algorithms for optimization
Clonal selection algorithms
Immune network algorithms
Dendritic cell algorithms
Immune-based security techniques
Immune-based privacy protection schemes
Negative/positive selection algorithms
Negative databases and applications
Negative surveys and applications
Immune algorithms for pattern recognition
Immune algorithms for robotics and control
Immune algorithms for fault diagnosis
Immune-based data mining techniques
2. Modeling of biological immune systems
Modeling of immune learning and memory
Modeling of immune system response
Modeling of immune cells and antibodies
Modeling of viruses or cancers
Immune network model
Security model of biological immune system
Computer simulations of biological immune system
Submission to this special issue is by two routes: (1) Open Call-for-papers and (2) Invited Papers.
(1) Submissions via open Call-for-papers. By publicizing an open call-for-papers (CFPs) in the Artificial Immune Systems community, we expect to receive a number of submissions via the open call-for-papers.
(2) Extended versions of selected best papers from IComputation\’17 (the 2017 IEEE Symposium on Immune Computation) will be invited for consideration by the guest editors. These submitted papers must be substantially revised, improved, and extended from their earlier conference versions with at least 30% new “contributions”.
The manuscripts should be prepared according to the “Guide for Authors” section of the journal found at: https://www.elsevier.com/journals/swarm-and-evolutionary-computation/2210-6502/guide-for-authors/ and submission should be done through the journal submission website: https://www.evise.com/evise/jrnl/SWEVO. Follow the submission instructions given on this site; please select the article type as “Special Issue: Immune Comp & Apps”.
IV. Important Dates
Initial Paper Submission: February 15, 2018
Initial Paper Decision: May 15, 2018
Revised Paper Submission: June 15, 2018
Final Paper Decision: July 15, 2018
Final Paper Submission: August 15, 2018
Publication Date (Provisional): October 2018
V. Guest Editors
Carlos Artemio Coello Coello
Mexico City, Mexico
School of Electronic Engineering
Xidian University, Xi\’an, China
School of Computer Science and Technology
University of Science and Technology of China
Hefei, Anhui, China
Department of Mathematics and Computer Science
University of Catania
The Mina & Everard Goodman Faculty of Life Sciences