Soft Computing Themes

Techniques and Tools:
The Soft Computing Techniques and Tools include (but are not restricted to):

• Biologically inspired soft computing
• Neural computing
• Support vector machines
• Artificial neural networks
• Data-driven computing
• Fuzzy systems
• Genetic and evolutionary algorithms
• Ant colony optimisation
• Evolutionary methods
• Artificial growth
• Simulated annealing
• Harmony search
• Graph theory based techniques
• Cellular automata
• Swarm intelligence
• Bayesian networks
• Chaos theory
• Data mining
• Expert systems
• Support vector machines
• Hybrid optimisation algorithms
• Predator-prey
• Response surfaces
• Polynomial chaos
• Artificial immune systems and immune computing
• Robust design
• Inverse methodologies
• Self-organising maps
• Multi agent systems
• Evolutionary polynomial regression
• Machine learning
• Deep learning
• High performance computing
• Fuzzy logic
• Differential evolution
• Metaheuristic and swarm intelligence
• Ant colony optimisation
• Particle swarm optimisation

Areas of Application:

Papers describing the application of the above techniques to all branches of civil, structural and environmental engineering may be presented at the conference. The areas of application include, but are not limited to: 

• advances in soft computing technology
• artificial simulation applications
• new trends in numerical methods and solution strategies
• Multi-Objective and Many-Objective Optimisation
• parallel and grid computing technologies
• structural mechanics and design
• mesh and grid generation
• water engineering and hydraulics
• structural computational mechanics
• inverse structural engineering
• multi-scale simulation and failure mechanics
• stochastic mechanics, robustness and reliability
• structural and multidisciplinary optimisation
• life-cycle cost analysis and performance-based design
• structural dynamics and control
• coupled and interaction problems
• wave propagation and soil dynamics
• structural earthquake and geotechnical engineering
• computational geosciences, geostatistics and geoenvironmental engineering
• damage analysis and vulnerability assessment
• health monitoring and maintenance systems
• repair and retrofit of structures and infrastructures
• smart structures and materials
• Mechanics
• Mechanical engineering
• biomechanical mechanisms and structures
• risk analysis and decision making
• project management and operations research engineering

Optimisation Themes

Techniques and Tools:

The list of Optimisation Algorithms, Tools and Techniques considered during this conference includes (but is not restricted to): 

• Gradient and non-gradient methods
• Numerical techniques
• Re-analysis techniques for static and dynamic problems
• Swift analysis
• Sensitivity analysis
• Evolutionary and genetic optimisation
• Convergence guarantees
• Necessary and sufficient conditions
• Randomized search methods
• Heuristic procedures and methods
• Bionic growth method
• Algorithm development
• Multi-objective optimisation
• Integration of optimisation with design tools
• Surrogate modelling or meta-models
• Inverse problems
• New or novel optimisation algorithms for engineering problems
• Use of high-performance computing for large scale problems
• Reliability optimisation
• Algorithms for stochastic optimisation
• Robust algorithms
• Integration of optimisation and computational steering
• Integration of optimisation with design tools
• Parallel and distributed evolutionary algorithms
• Game strategies

Areas of Application:

Presentations describing the application of the above Tools and Techniques to all branches of civil, structural and environmental engineering may be presented at the conference. The areas of application include, but are not limited to: 

• Civil engineering
• Construction engineering
• Project control and management
• Structural engineering
• Design optimisation
• Structural optimisation
• Multidisciplinary optimisation
• Topology optimisation
• Optimisation for manufacturing processes
• Non-linear material behaviour in optimisation processes
• Shape optimisation
• Architectural engineering
• Structural mechanics
• Composite structures
• Computational mechanics
• Smart structures
• Multi-physics problems
• Multi-scale problems
• Materials design
• Micro and nano materials
• Smart materials
• Composite multifunctional materials
• Masonry structures
• Adaptive structures
• Optimal control for example in seismic design
• Design for uncertainty
• Industrial problems
• Bio-mechanical structures
• Mechanics
• Mechanical engineering