CIES 2017, IEEE
Symposium on Computational Intelligence for Engineering Solutions
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
Accepted
Special Sessions
- Computational Intelligence for Smart Cities
- Organizers:
Vitor Nazário Coelho, Grupo da Causa Humana and Universidade Federal Fluminense, Brazil
Igor Machado Coelho, Universidade do Estado do Rio de Janeiro, Brazil,
Luiz Satoru Ochi, Institute de Computer Science, Universidade Federal Fluminense, Brazil
Thays Aparecida de Oliveira, Universitat Pompeu Fabra, Spain - More Information
Symposium Co-Chairs
Michaer Beer
Leibniz Universität Hannover, Germany
Email: beer@irz.uni-hannover.de
Vladik Krenovich
The University of Texas at El Paso, Texas, USA.
Email:vladik@utep.edu
Rudolf Kruse
University of Magdeburg, Germany
Email:kruse@iws.cs.uni-magdeburg.de
Program
Committee
- Hojjat Adeli, The Ohio State University, USA
- James L. Beck, California Institute of Technology, USA
- Christian Borgelt, European Centre for Soft Computing, Spain
- Oscar Castillo, Tijuana Institute of Technology, Mexico
- Michael Fisher, University of Liverpool, UK
- Hitoshi Furuta, Kansai University, Japan
- Yannis Goulermas, University of Liverpool, UK
- Wolfgang Graf, Dresden University of Technology, Germany
- Catherine Huang, Intel Labs, Hillsboro, OR, USA
- Jorge E. Hurtado, National University of Colombia, Colombia
- Lambros S. Katafygiotis, The Hong Kong University of Science & Technology, Hong Kong,China
- Valentin Ivanov, Ilmenau University of Technology, Germany
- Kevin S.C. Kuang, National University of Singapore, Singapore
- Tenreiro Machado, Polytechnic Institute of Porto, Portugal
- Ralf Mikut, University of Karlsruhe, Germany
- Detlef Nauck, British Telecom, UK
- Thomas Runkler, Siemens AG, Germany
- Tai Kang, Nanyang Technological University, Singapore
- Enrico Zio, Polytechnic of Milan, Italy