European Council

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OPTARCH2019 - 1st International Conference on Optimization-Driven Architectural Design

5-7 November 2019, Amman, Jordan

The National Technical University of Athens (Greece), Jordan University of Science and Technology, Politecnico di Torino (Italy), University of Cyprus, McGill University (Canada) and Fuzhou University (China), are organizing the 1st International Conference on Optimization-Driven Architectural Design (OPTARCH2019) to be held in Amman, Jordan from November 5th - 7th, 2019.

The purpose of the Conference is to bring together the scientific community working in the broader field of Engineering Optimization and Architectural Design including problems formulation, computational methods and software development. OPTARCH2019 conferences will facilitate the exchange of ideas in topics of mutual interests and will serve as a platform for establishing links between research groups with complementary activities. Thus, the communities of Mathematical Programming and Nature-Inspired Search Algorithms will become more familiar with important application areas arising from Architectural design real-world problems. Moreover, the Architectural Design Community will be exposed to advanced numerical methods and software tools, which can highly assist in tackling combinatorial optimization problems.​

OPTARCH2019​ is endorsed by the​ International Society for Structural and Multidisciplinary Optimization (ISSMO), European Council of Civil Engineers (ECCE), Scientific Technical Chamber of Cyprus (ETEK), Association of Civil Engineers of Greece (ACEG), and Cyprus Architects Association (CAA)​​.

OPTARCH2019 aims to bring researchers from around the world to share their research findings and address issues related to research in the area of sustainability and resilience in ​all engineering fields. The Conference intends to be a forum and networking place for academics, researchers, professionals, decision makers, practitioners, and students. The topics of the conference include, but are not limited to the following areas:

  • Shape and topology optimization: topological derivatives, level set methods, isogeometry-based shape optimization, topometry and topography optimization, sensitivity analysis, etc.
  • Linear, nonlinear, stochastic, parametric, discrete and dynamic programming – modelling.
  • Optimization software.
  • Evolutionary algorithms, swarm optimization, scatter search, etc.
  • Parallel and distributed computing in optimization – Cloud computing, GPGPU computing environment.
  • Theory of metaheuristics, landscape analysis, convergence, large neighborhoods, etc.
  • Multiple criteria decision making and optimization.
  • Local search, tabu search, simulated annealing, VNS, ILS, etc.
  • Hybrid methods with metaheuristics, machine learning, game theory, mathematical programming, constraint programming, co-evolutionary, etc.
  • Energy (energy harvesting, storage, delivery, efficiency, etc.), environment and climate.
  • Artificial intelligence, surrogates-metamodels, fuzzy systems.
  • Structural optimization: composite materials, transient loads and crash, fatigue and fracture, etc.
  • Lifecycle design optimization and structural health monitoring.
  • Multidisciplinary and multiphysics design optimization.
  • Emergent nature inspired algorithms: quantum computing, artificial immune systems, DNA computing, etc.
  • Design under uncertainty: robust design optimization, reliability based design optimization, theoretical foundations and framework.
  • Optimization in emerging areas like micro- and nano-mechanics, multiscale, additive manufacturing.
  • Generative and parametic design

Important Dates

  • Abstract Submission 25 May 2019
  • Acceptance of the abstract 10 June 2019
  • Deadline for early payment 15 September 2019
  • Deadline for submitting the full paper (optional) 30 September 2019​
  • Acceptance of the full paper 10 October 2019

For further information and to keep up-to-date please visit the Conferences website http://www.just.edu.jo/OptArch2019/Pages/default.aspx

29.01.2019 :: PDF Print Page