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Keynote Lectures

Available soon
Sanja Lazarova-Molnar, Karlsruhe Institute of Technology (KIT), Germany

Available soon.
Alexis Drogoul, Institute of Research for Development, France

Optimization with Simulation and Swarm Intelligence: Inspiration from Nature
Xin-She Yang, Middlesex University, United Kingdom

 

Keynote Lecture

Sanja Lazarova-Molnar
Karlsruhe Institute of Technology (KIT)
Germany
 

Brief Bio
Sanja Lazarova-Molnar holds two full professorships, at the Karlsruhe Institute of Technology, and the University of Southern Denmark. Her research focuses on data-driven simulation, digital twins, and cyber-physical systems modeling for reliability and energy efficiency enhancement. Actively engaged in developing advanced methodologies, she leverages her expertise to optimize complex systems through data-driven simulation. She leads activities focused on digital twins and data-driven simulation in several European and national projects. Furthermore, Professor Lazarova-Molnar assumes leadership roles in IEEE and The Society for Modeling & Simulation International (SCS), contributing significantly to these professional organizations. She was also one of the Proceedings Editors for the Winter Simulation Conference in 2019 and 2020 and an associate editor of SIMULATION: Transactions of The Society for Modeling and Simulation International.


Abstract
Available soon



 

 

Available soon.

Alexis Drogoul
Institute of Research for Development
France
 

Brief Bio
Alexis DROGOUL holds a PhD and a habilitation thesis in computer science. He was a professor at Sorbonne University from 1994 to 2004, and since 2005 has been a senior researcher at IRD, the French National Research Institute for Sustainable Development. His work, which has been the subject of over 200 articles, focuses on the development of software tools (such as GAMA, http://gama-platform.org) to support the modeling and simulation of socio-environmental systems, with a view to facilitating interdisciplinary work and involving social actors in model construction. In this capacity, he has helped defining the fundamental concepts of "agent-based modeling", while working on numerous applications of this paradigm for environmental decision support, notably in Vietnam, where he has helped building several research labs on this theme since 2006.


Abstract
Available soon.



 

 

Optimization with Simulation and Swarm Intelligence: Inspiration from Nature

Xin-She Yang
Middlesex University
United Kingdom
 

Brief Bio
Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. Now he is Reader in Modelling and Optimization at Middlesex University London, and a co-Editor of the Springer Tracts in Nature-Inspired Computing. He is also an elected Fellow of the Institute of Mathematics and its Applications (FIMA), UK. He was the IEEE Computational Intelligence Society (CIS) chair for the Task Force on Business Intelligence and Knowledge Management (2015 to 2020). He has published more than 40 books and more than350 peer-reviewed research papers with more than 87,000 citations, and he has been on the prestigious list of most influential researchers or highly-cited researchers (Web of Sciences) for eight consecutive years since 2016.


Abstract
Many design optimization problems in engineering and industry have stringent constraints with highly nonlinear, multimodal design objectives, and such optimization requires techniques beyond traditional gradient-based methods and Monte Carlo simulation. Nature-inspired, swarm intelligence-based optimization algorithms are a class of metaheuristic techniques for solving optimization problems. This talk summarizes the latest developments and highlights some open problems for further research.



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