Dates : July 4-5, 2017
Location : University of Le Havre-Normandie, (UFR-ST, Room Lesueur)

The previous WANCSA was held in Wuhan-China (WTU), May 28-29, 2016, see here

WANCSA'2017 will focus on recent advances in complex systems, complex networks, and applications in all fields of science and engineering. There will be several invited expository addresses covering recent trends and invited lectures on problems of current interest and important applications in various disciplines.

Among surrounding areas of modelling capable of synthesizing the complexity of the systems, networks have well formalized mathematical bases which help in the operational effectiveness of these models; they are also an important vector of interdisciplinary reflection so much their presence seems obvious to represent the complex interlacing of various phenomena, natural, social and artificial systems.

They represent naturally systems of interaction between several parts. It is then frequent to see the emergence of collective behavior stemming from these parts in interaction.

Examples are many, whether it is in the natural world (nervous system, immune system, chains trophiques food, ... ) or artificial (supply chain, cloud computing, internet, network social, ...) In which particular properties can emerge resulting from the interaction of the parts or from elements establishing the whole.

Complex networks are one of more powerful tools to describe, analyze and control all these natural or artificial complex systems, which are omnipresent. To understand and analyze them, new approaches based on integrative modellings are necessary.

The main topics of interest for this conference concern:

  • Complex systems and Complex Networks, from the mathematics and computer science points of view, with Applications ...:

Theories, Concepts and Méthodologies:

  • Complex networks based-models
  • Complex networks implementation
  • Nonlinear Dynamical Systems
  • ODE and PDE based modelling for complexity
  • Modelling , Identification, Simulation
  • Bifurcation, Synchronization and chaos
  • Stochastic Complex Systems
  • Optimization in complex systems
  • Graph therory
  • Nonlinear System and Control
  • Hybrid Systems
  • Swarm Intelligence Methods
  • Multiagent systems
  • Neural Networks
  • Multi-scale Systems

Applications :

  • Ecology and bio-systems
  • Biological networks
  • Environmental Sciences
  • Natural and Artificial Ecosystems Modelling
  • Logistics Systems
  • Geographical systems and territorial Intelligence
  • Social Economy Systems
  • Natural and Technological Risk Modelling, Simulation and Management
  • Artificial life
  • Intelligent Robot
  • Human-Machine Systems
  • Communication Network Systems

Location (Normandie Univ. Le Havre) : Workshop Venue

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