EUROGEN 2023 will be the 15th of a series of International Conferences previously held in Las Palmas de Gran Canaria (1995), Trieste (1997), Jyväskylä (1999), Athens (2001), Barcelona (2003), Munich (2005), Jyväskylä (2007), Kracow (2009), Capua (2011), Las Palmas de Gran Canaria (2013), Glasgow (2015) Madrid (2017), Guimaraes (2019) and online (2021) devoted to Evolutionary and Deterministic Computing for Industrial Applications.
It aims at bringing together specialists from Universities, Research Institutions and Industries developing or applying Evolutionary and Deterministic Methods in optimization of design and emphasizing industrial and societal applications.
This series of conferences was originally launched by the European Thematic Network INGENET.
EUROGEN 2023 is an ECCOMAS Thematic Conference in association with ERCOFTAC.
Sessions related to specific topics of the Conference will be introduced by Keynote Lectures which will be complemented by invited Minisymposia, organized by recognized experts in research areas of current interest, as well as by contributed papers.
EUROGEN 2023 aims at bringing together specialists from Universities, Research Institutions and Industries developing or applying Evolutionary and Deterministic Methods in optimization on design of industrial and societal applications in the following Major Application Areas and Algorithmic Topics.
Major Application Areas
Aeronautical Aerospace and Space Engineering
Bioengineering and Biomedical Sciences
CAD and Manufacturing
Civil and Structural Engineering
Economics and Finance
Electromagnetics and Electronics
Energy, Environment and Climate
Material Science and Technology
Multiscale optimization in Micro-and-Nano-Mechanics
Offshore, Coastal and Marine Engineering and Operations
RAMS and Risk Analysis
Adjoint based and One-shot Methods
Artificial Intelligence, Surrogates-Metamodels and Fuzzy Systems
Cloud computing, GPGPU computing environment
Design Optimization under Uncertainties
Goal oriented optimization for mesh and meshless methods
Hybrid Methods, Metaheuristics and Evolutionary Algorithms, Machine Learning
Life-cycle design optimization and structural health monitoring
Linear, nonlinear, stochastic, parametric, discrete and dynamic programming & modeling
Mathematical programming, constraint programming
Multi-criteria decision Making
Multidisciplinary, Multiphysics and Multi-objectives and Multi-criteria Optimization Methods
Optimization in Micro- and Nano-Mechanics
Parallel and Distributed Computing in Optimization
Robust Design & Reliability Based Design Optimization
Shape and Topology Optimization
Smart & Composite Materials and Structures
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