*Apologies
if you receive multiple copies of this CFP *
Dear Sir or Madam,
As guest editor, I
kindly invite you to submit a paper to the VSI on
Bio-Inspired Optimization Techniques for BioMedical Data
Analysis: Methods and Applications.
====================================
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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