PARALLEL AND DISTRIBUTED SIMULATION

Methods and techniques for parallel simulation (scheduling, synchronisation, load balancing), Performance of parallel and distributed simulation (experimental and comparative studies, performance models, benchmarks), High Level Architecture (HLA) and related standards (time management, model semantics, implementation issues), Application of parallel and distributed simulation (computer systems, manufacturing systems, etc.), Parallelisation of continuous simulations (numerical methods, (Quasi)-Monte-Carlo simulation), Web-based distributed simulation (distributed modelling via the Web, Java).

Submit your abstract for this track here:
Parallel and Distributed Track

VERIFICATION, VALIDATION AND ACCREDITATION (VV&A)

VV&A methodology (effective VV&A, VV&A planing, confidence levels, risk estimation, organisation, documentation, standards, cost estimation, technique application, result presentation, subject matter expert (SME) selection, formal model specification, fidelity, automation potential), VV&A technology (documentation, CASE-tools, cross checking, requirements specification, knowledge based systems, configuration management, tool overview, simulation environments)

Submit your abstract for this track here:
Verification Track

MILITARY SIMULATION - REAL-TIME SIMULATION AND SIMULATORS - ADVANCED TECHNIQUES

Military simulation - fidelity, exercise management, tools and modelling techniques, applications; Local, global, real and non-real time simulations and applications; Web-enabled simulation, local and remote invocation, tools, education; Simulators - hardware/persons-in-the-loop, HLA compliance; Animated visualisation of simulation; Component-oriented simulation.

Submit your abstract for this track here:
Military Track

NEURAL NETS & SIMULATION, DATA-MINING

Neural nets for simulation: modelling of parts (components) of the system simulated by neural networks, evaluation of simulation models using neural nets, decision support in simulation models by neural nets; Simulation of neural nets: systems of pre-designed neural networks, techniques and tools for simulation and programming of neural networks; Special session on the backgrounds and practical use of GMDH (Group Method of Data Handling) and GMDH-type networks: background and general theory of GMDH-type neural networks, heuristics-free GMDH methods, error control strategies in GMDH net learning processes, application of GMDH methods; Fuzzy systems modelling and simulation: representation of fuzzy problems or fuzzy components in simulation models, mutual relation of fuzzy and statistics in simulation, statistical reliability of fuzzy simulation models; Techniques used in data-mining: statistical approaches, neural nets & data mining, genetic algorithms in data mining, non-standard (other) approaches to data mining.

Submit your abstract for this track here:
Neural Nets Track

HIGH PERFORMANCE COMPUTING

Simulation problems may be extremely compute-intensive. Most current supercomputer installations in research and industry are being used to solve complex simulation problems in science or engineering. These large-scale simulations require efficient simulation techniques, which may derive their performance from new algorithmic ideas and from the use of high-performance computer architectures, including both million dollar multi-vector processors and home-made networks of inexpensive PCs. This track invites contributions on efficient simulation algorithms and compute-intensive simulation projects on high-performance computers.

Submit your abstract for this track here:
High Performance Track

ANALYTICAL AND STOCHASTIC MODELLING TECHNIQUES

Techniques and Algorithms: stochastic models, Markov models, stochastic Petri-net models, queueing systems and network models, reliability and maintenance models, stochastic optimal control and optimisation, performance modelling, stochastic process algebras, stochastic precedence graphs, stochastic simulation, analytical and numerical simulation, statistical analysis and inference.

Submit your abstract for this track here:
Analytical Track

SIMULATION IN TRANSPORT AND LOGISTICS

Traffic: traffic flows, multi-modal systems, transit, transportation modes, city transport, transportation in logistics, transportation management, traffic demand, traffic control, traffic telematics, traffic performance, safety, macroscopic, mesoscopic and microscopic simulations;

Logistics: logistics supply chains, inbound logistics, materials management, physical distribution, production planning and control, outbound logistics, distribution centres, inventory management, warehousing decisions, materials handling and packaging, logistics information systems, information management in logistics systems, logistics network design and facility location, cost modelling.

Submit your abstract for this track here:
Transport Track

SIMULATION IN BIOLOGY AND MEDICINE

Modelling and simulation have an important role in structuring biological, medical and ecological systems. The intrinsic complexity and non-linearity of these types of systems need continuous and discrete simulation methodology, soft computing methodology in order to handle the different degrees of uncertainty, as well as virtual reality methodology describing the time and space dependent complexity. Topics are biological systems, medical systems and ecosystems with the domain specific topics such as molecular modelling, genetic algorithms in biosystems, fuzzy sets and neural nets in biosystems, physiology, cardiology, anesthesia, cancer, circulatory system, respiratory system, renal system, biomechanics, agricultural production, simulation of global change, ecotechnology and eco-engineering, GIS, population dynamics, etc.

Submit your abstract for this track here:
Biology Track

BACK TO TOP