FYI, please note that imprecise probabilities are among highlighted topics
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Dear colleague,
we would like to kindly invite you to submit an abstract to the
IEEE Symposium on Computational Intelligence for Engineering
Solutions - CIES'2015
which we are organizing within the IEEE Symposium Series on
Computational Intelligence SSCI'2015, Cape Town, South Africa,
December 7-10, 2015
Please find below the outline of our Symposium and attached a
conference flyer for your information. We would very much appreciate
if you could accept our invitation.
Paper submission will be facilitated through the conference
webpage in due course.
Deadline for paper submission: June 14, 2015
The IEEE SSCI'2015 co-locates multiple exciting symposiums at one
single location, providing a unique opportunity to encourage
cross-fertilization and collaboration in all areas of CI. The IEEE
SSCI 2014 features a large number of keynotes, tutorials, and
special sessions.
Please accept our apologies if you receive this call for papers
more than once through different channels.
Sincerely,
Michael Beer, University of Liverpool (mbeer@liverpool.ac.uk)
Rudolf Kruse, University of Magdeburg (kruse@iws.cs.uni-magdeburg.de)
Vladik Kreinovich, The University of Texas at El Paso (vladik@utep.edu)
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IEEE Symposium on Computational Intelligence for Engineering
Solutions CIES'2015
Developments in Engineering are characterized by a growing
complexity, which is balanced by an extensive utilization of
computational resources. This complexity is not only a feature of
engineering systems, processes and products, it is primarily a key
attribute of the respective algorithms for analysis, control and
decision-making to develop those engineering solutions. To cope
with complexity in this broad spectrum of demands, Computational
Intelligence is implemented increasingly in virtually all
engineering disciplines. This emerging approach provides a basis
for developments of a new quality.
This Symposium is focused on the utilization of Computational
Intelligence in this context in the entire field of engineering.
Examples concern the control of processes of various kinds and for
various purposes, monitoring with sensors, smart sensing, system
identification, decision-support and assistance systems,
visualization methods, prediction schemes, the solution of
classification problems, response surface approximations, the
formulation of surrogate models, etc. The engineering application
fields may comprise, for example, bioengineering with prostheses
design and control, civil and mechanical engineering processes,
systems and structures concerned with vehicles, aircraft or
bridges, industrial and systems engineering with design and
control of power systems, electrical and computer engineering with
developments in robotics, etc. All kinds of approaches from the
field of Computational Intelligence are welcome.
As a part of the Symposium special attention is paid to
sustainable engineering solutions to address current and future
challenges of environmental changes and uncertainty. This includes
developments dealing with climate change, environmental processes,
disaster warning and management, infrastructure security,
lifecycle analysis and design, etc. Events, disasters and issues
under consideration may be natural such as earthquakes or
tsunamis, man-made such as human failure or terrorist attacks, or
a combination thereof including secondary effects such as failures
in nuclear power plants, which may be critical for systems, the
environment and the society. Developments which include a
comprehensive consideration of uncertainty and techniques of
reliable computing are explicitly invited. These may involve
probabilistic including Bayesian approaches, interval methods,
fuzzy methods, imprecise probabilities and further concepts. In
this context robust design is of particular interest with all its
facets as a basic concept to develop sustainable engineering
solutions.
Topics
The symposium topics include, but are not limited to:
* Complex engineering systems, structures and processes
* Intelligent analysis, control and decision-making
* Management and processing of uncertainties
* Problem solution in uncertain and noisy environments
* Reliable computing
* Sustainable solutions
* Infrastructure security
* Climate change
* Environmental processes
* Disaster warning and management
* Lifecycle analysis and design
* Automotive systems
* Monitoring
* Smart sensing
* System identification
* Decision-support and assistance systems
* Visualization methods
* Prediction schemes
* Classification methods, cluster analysis
* Response surface approximations and surrogate models
* Sensitivity analysis
* Robust design, reliability-based design, performance-based design
* Risk analysis, hazard analysis, risk and hazard mitigation
* Optimization methods, evolutionary concepts
* Probabilistic and statistical methods
* Simulation methods, Monte-Carlo and quasi Monte-Carlo
* Bayesian approaches / networks
* Artificial Neural Networks
* Imprecise probabilities
* Evidence theory
* p-box approach
* Fuzzy probability theory
* Interval methods
* Fuzzy methods
* Convex modeling
* Information gap theory
Symposium Co-Chairs
Michael Beer, University of Liverpool, UK
Rudolf Kruse, University of Magdeburg, Germany
Vladik Kreinovich, The University of Texas at El Paso, TX, USA