15th International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control (EUROGEN 2023)

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.

Conference Topics

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

Automotive 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

Telecommunications

Algorithmic Topics

Adjoint based and One-shot Methods

Artificial Intelligence, Surrogates-Metamodels and Fuzzy Systems

Cloud computing, GPGPU computing environment

Design Optimization under Uncertainties

Game Strategies

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

Turbomachinery