CIES 2017 - 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