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活动简介

The 5th International Conference on Engineering Optimization will be hold in Iguassu Falls, Brazil at 19-23 June 2016.

The previous International Conferences of Engineering Optimization took place in 2008 and 2012 at Rio de Janeiro and at Lisbon in 2010 and 2012. There were very successful in number and quality of participants and presentations. The proceedings are available through the present website. The main goal of EngOpt conferences is to periodically bring together engineers, applied mathematicians and computer scientists working on research, development and practical application of optimization methods applied to all engineering disciplines or developing basic techniques in this field.

The main goal of EngOpt conferences is to periodically bring together engineers, applied mathematicians and computer scientists working on research, development and practical application of optimization methods applied to all engineering disciplines or developing basic techniques in this field.

Modern design techniques seek for the best design to perform the desired tasks. Engineering Optimization deals with the optimal design of elements and systems in all engineering fields.

Nowadays, use of Design Optimization techniques is rapidly growing in most of engineering disciplines, like automotive, aeronautical, mechanical, civil, nuclear, naval, mechanical, electrical, energy and off-shore engineering. This is due to the increase of technological competition and the development of strong and efficient techniques for several practical applications.

征稿信息

重要日期

2016-03-07
摘要截稿日期
2016-08-30
初稿截稿日期

征稿范围

DESIGN OPTIMIZATION AND INVERSE PROBLEMS:

  • Acoustic

  • Aerodynamics

  • Chemistry and combustion

  • Civil Engineering

  • Design of Experiments

  • Electrical Systems

  • Electromagnetism

  • Fluid Mechanics

  • Geophysics

  • Heat and Mass Transfer

  • Imaging

  • Materials processing

  • Mechanical Engineering

  • Meteorology

  • Nuclear Engineering

  • Planning

  • Robotics

  • Solid Mechanics

  • Scheduling

  • Tomography

  • Vibrations and Structural Dynamics

BASIC NUMERICAL OPTIMIZATION TECHNIQUES:

  • Shape Optimization

  • Size Optimization

  • Topology Optimization

  • Mathematical Programming Algorithms

  • MDO - Multidisciplinary Design Optimization

  • Optimality Criteria Methods

  • Genetic Algorithms

  • Evolutionary Techniques

  • Fuzzy Optimization

  • Optimization with Approximate Models

  • Response Surface Methods

  • Metamodels and Surrogates in Optimization

  • Artificial Intelligence and Neural Networks

  • Multi-objective Optimization

  • Global Optimization

  • Decomposition Methods

  • Concurrent Engineering

  • Robust Design

  • Reliability-Based Design Optimization

  • Multi-scale Optimization

  • Efficient Analysis and Reanalysis Techniques with Finite Elements Method

  • Boundary Elements Method

  • Finite Differences Method

  • Finite Volume Method

  • Meshless Methods

  • Sensitivity Analysis

  • Analytic and Semi-analytic Formulations

  • Variational Formulation

  • Automatic Differentiation

  • Topological Derivatives and other techniques

  • Linear Programming

  • Nonlinear Programming

  • Mixed Linear and Nonlinear Programming

  • Integer Programming

  • Stochastic Optimization

  • Supply Chain Management

INDUSTRIAL APPLICATIONS:

  • Aeronautical Industry

  • Automotive Industry

  • Bio - Mechanics Applications

  • Chemical Processing Equipments

  • Energy Generation and Transmission

  • Machinery Optimization

  • Micro-Mechanics Systems - MEMS

  • Micro and Nano - Technologies

  • Oil and Gas Industries

  • Space Industry and other Industrial Applications

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重要日期
  • 会议日期

    06月19日

    2016

    06月23日

    2016

  • 03月07日 2016

    摘要截稿日期

  • 06月23日 2016

    注册截止日期

  • 08月30日 2016

    初稿截稿日期

主办单位
China Computer Society high performance computing Specialized Committee
承办单位
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Financiador de Estudos e Projetos
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Itaipu Binacional
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