2017 IEEE Symposium on Immune Computation (IEEE IComputation' 17)
The 2017 IEEE Symposium
on Immune Computation (IEEE IComputation 2017) is a part of the IEEE
Symposium Series of Computational Intelligence (IEEE SSCI 2017).
Immune Computation is a
fast developing research area in the computational intelligence
community, inspired by the information processing mechanism of
biological immune system. Many of these algorithms are built on solid
theoretical foundations, through understanding mathematical models and
computational simulation of aspects of the immune system. The scope of
this research area ranges from modeling to simulation of the immune
system, to the development of novel engineering solutions to complex
problems, and bridges several disciplines to provide new insights into
immunology, computer science, mathematics and engineering.
The aims of this
symposium are: (1) to present the state-of-the-art research on immune
computation; (2) to provide a forum to disseminate their recent
advances and views on future perspectives in the field; (3) to offer
new conceptual models for understanding the dynamics that underlie the
immune system, and (4) to provide a unique event where computer
scientists, engineers, immunologists, biologists, physicists, etc., may
compare to each other their expertises in an interdisciplinary vision.
Topics
The topics of IEEE IComputation 2017 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 uses for developing computationally intelligent
systems should be clearly stated. Topics of interest include, but are
not limited to:Immune algorithms and applications:
- Immune-based security techniques
- Immune-based privacy protection schemes
- Negative/positive selection algorithms
- Clonal selection algorithms
- Immune network algorithms
- Dendritic cell algorithms
- Negative databases and applications
- Negative surveys and applications
- Theoretical aspects of immune inspired algorithms
- Immune algorithms for optimization
- Immune algorithms for pattern recognition
- Immune algorithms for robotics and control
- Immune algorithms for fault diagnosis
- Immune-based data mining techniques
- Novel algorithms and new immune operators
- Benchmarking immune inspired algorithms against other techniques
- Empirical and theoretical investigations into performance and complexity of immune inspired algorithms
- Hybridization of immune inspired algorithms with other techniques
- Modeling of immune learning and memory
- Modeling of immune system response
- Modeling of immune cells and antibodies
- Modeling of viruses or cancers
- Immune network models
- Self/nonself models
- Systems & synthetic immunology
- Cellular immunology
- Vaccine design
- Immune medicine
- Chemistry immunology
- Multi-agent based models of immunity
- Security modeling of biological immune system
- Computer simulations of biological immune system
Accepted Special Sessions
(To
be announced)
Symposium
Co-Chairs
Carlos Artemio Coello Coello
CINVESTAV-IPN, Mexico City, Mexico
Email: ccoello@cs.cinvestav.mx
Licheng Jiao
School of Electronic Engineering
Xidian University, Xi'an, China
Email: lchjiao@mail.xidian.edu.cn
Wenjian Luo
School of Computer Science and Technology
University of Science and Technology of China,
Email: wjluo@ustc.edu.cn
Mario Pavone
Department of Mathematics and Computer Science
University of Catania, Italy
Email: mpavone@dmi.unict.it
Ramit Mehr
Bar-Ilan University, Israel
Email: ramit.mehr@biu.ac.il
Program Committee
(To be announced)