[Announcements] ASOC journal (IF: 3.907): Special Issue on Bio-Inspired Optimization Techniques for BioMedical Data Analysis: Methods and Applications

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[Announcements] ASOC journal (IF: 3.907): Special Issue on Bio-Inspired Optimization Techniques for BioMedical Data Analysis: Methods and Applications

Giovanna Sannino
Dear Colleague,

It is a pleasure for me to invite you to participate to the Virtual
Special Issue on "Bio-Inspired Optimization Techniques for BioMedical
Data Analysis: Methods and Applications", Applied Soft Computing
journal, Elsevier (Impact Factor:3.907)


====================================
Applied Soft Computing journal (Elsevier) - IF 2018: 3.907
Special Issue on Bio-Inspired Optimization Techniques for
BioMedical Data Analysis: Methods and Applications
====================================

The intertwining disciplines of bio-inspired computing (BIC), biomedical
imaging and data analysis are major fields of computer science, computer
engineering and electrical and electronic engineering, which have
attracted the interest of many researchers. The past and on-going
research covers a wide range of topics and tasks, from fundamental
research to a huge number of real-world industrial applications.

An exhaustive search is impractical in solving problems. Optimization
provides a powerful tool for solving learning problems and data
analysis. Designing and implementing optimization algorithms are based
on several methods and have superior performance in many problems.
However, in several applications, the search space increases
exponentially with the problem size. In order to overcome the
limitations and to solve efficiently larger scale of combinatorial and
highly nonlinear optimization problems, sets of more flexible and
adaptable algorithms are compulsory. BioMedical data analyses are
driving new optimization research trends mainly based on machine
learning and artificial intelligence, motivating intersections with
biomedical imaging & data analysis and systems development. Bio-inspired
computing is oriented toward applying outstanding information-processing
aptitudes of the natural realm to the computation domain. It establishes
a strong relationship with computational biology and other
biology-inspired computing models due to its effectiveness and
uniqueness even though it is still relatively new trend. Some
meta-heuristic search algorithms with population-based framework are
capable of handling optimization in high-dimensional real-world problems
in several domains including engineering, medicine, industry, education,
and military. The discipline of Bio-inspired optimization algorithms is
a major field of computational intelligence, soft computing and
optimization at large, which has attracted the interest of many
researchers. These algorithms provide efficient tools to those problems,
which cannot be solved using traditional and classical mathematical
methods, as often the algorithms do not require any mathematical
condition to be satisfied.

The overall aim of this special issue is to collect state-of-the-art
contributions on the latest research and development, up-to-date issues,
and challenges in the fields of Bio Inspired Computing and BioMedical
Data Analysis, and related applications. Proposed submissions should be
original, unpublished, and present novel in-depth fundamental research
contributions either from a methodological perspective or from an
application point of view.

The topics of interest are strictly limited to:

1. New theories and methods in different BIC paradigms applied to
Biomedical data analysis, such as

- Ant Colony Systems
- Artificial Immune Systems
- Artificial Neural Networks
- Cellular Automata
- Cognitive Modelling
- DNA Computing
- Differential Evolution
- Emergent Systems
- Evolutionary Computations
- Evolutionary Strategies/Programming
- Genetic Algorithms/Programming
- Granular Computing
- Organic Computing
- Particle Swarm Optimization
- Swarm-based Algorithms

2. Applications of BIC and BIC-related techniques to biomedical data
analysis, including

- Biomedical intelligent decision support system
- Computer aided diagnosis
- Parallel processing
- Biomedical applications
- Internet of Health Things
- Health 4.0
- Virtual environments and Bio-inspired robotics
- Automatic feature extraction and construction in complex images
- Medical and bio-medical data analysis
- eHealth, mHealth and Telemedicine

IMPORTANT: Please choose VSI: BioMedical Data Analysisî when specifying
the Article Type.

Proposed Schedule:

- Virtual Special Issue start: July 1st, 2018
- First Round of Review: Maximum 3 months after submission date
- Virtual Special Issue closing date: November 30, 2018

FOR FURTHER INFORMATION:
https://www.journals.elsevier.com/applied-soft-computing/call-for-papers/special-issue-on-bio-inspired-optimization-techniques-for-bi 

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