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Optimization of Complex Systems: Theory, Models, Algorithms and Applications

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Hoai An Le Thi

    1. Computer science and Applications Department, LGIPM, University of Lorraine, Metz Cedex 03, France

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  2. Hoai Minh Le

    1. Computer Science and Applications Department, LGIPM, University of Lorraine, Metz Cedex 03, France

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  3. Tao Pham Dinh

    1. Laboratory of Mathematics, National Institute for Applied Sciences (INSA)-Rouen Normadie, Saint-Étienne-du-Rouvray Cedex, France

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  • Includes the proceedings of the WCGO 2019—6th World Congress on Global Optimization, held on July 8–10 2019 in Metz, France
  • Presents recent research on Optimization of Complex Systems
  • Offers theory, models, algorithms, and applications

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 991)

Included in the following conference series:

Conference proceedings info: WCGO 2019.

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Table of contents (113 papers)

  1. Front Matter

    Pages i-xxii
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  2. Continuous Optimization

    1. Front Matter

      Pages 1-1
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    2. A Hybrid Simplex Search for Global Optimization with Representation Formula and Genetic Algorithm

      • Hafid Zidani, Rachid Ellaia, Eduardo Souza de Cursi
      Pages 3-15

    3. A Population-Based Stochastic Coordinate Descent Method

      • Ana Maria A. C. Rocha, M. Fernanda P. Costa, Edite M. G. P. Fernandes
      Pages 16-25

    4. A Sequential Linear Programming Algorithm for Continuous and Mixed-Integer Nonconvex Quadratic Programming

      • Mohand Bentobache, Mohamed Telli, Abdelkader Mokhtari
      Pages 26-36

    5. A Survey of Surrogate Approaches for Expensive Constrained Black-Box Optimization

      • Rommel G. Regis
      Pages 37-47

    6. Adaptive Global Optimization Based on Nested Dimensionality Reduction

      • Konstantin Barkalov, Ilya Lebedev
      Pages 48-57

    7. A B-Spline Global Optimization Algorithm for Optimal Power Flow Problem

      • Deepak D. Gawali, Bhagyesh V. Patil, Ahmed Zidna, Paluri S. V. Nataraj
      Pages 58-67

    8. Concurrent Topological Optimization of a Multi-component Arm for a Tube Bending Machine

      • Federico Ballo, Massimiliano Gobbi, Giorgio Previati
      Pages 68-77

    9. Discrete Interval Adjoints in Unconstrained Global Optimization

      • Jens Deussen, Uwe Naumann
      Pages 78-88

    10. Diving for Sparse Partially-Reflexive Generalized Inverses

      • Victor K. Fuentes, Marcia Fampa, Jon Lee
      Pages 89-98

    11. Filtering Domains of Factorable Functions Using Interval Contractors

      • Laurent Granvilliers
      Pages 99-108

    12. Leveraging Local Optima Network Properties for Memetic Differential Evolution

      • Viktor Homolya, Tamás Vinkó
      Pages 109-118

    13. Maximization of a Convex Quadratic Form on a Polytope: Factorization and the Chebyshev Norm Bounds

      • Milan Hladík, David Hartman
      Pages 119-127

    14. New Dynamic Programming Approach to Global Optimization

      • Anna Kaźmierczak, Andrzej Nowakowski
      Pages 128-134

    15. On Chebyshev Center of the Intersection of Two Ellipsoids

      • Xiaoli Cen, Yong Xia, Runxuan Gao, Tianzhi Yang
      Pages 135-144

    16. On Conic Relaxations of Generalization of the Extended Trust Region Subproblem

      • Rujun Jiang, Duan Li
      Pages 145-154

    17. On Constrained Optimization Problems Solved Using the Canonical Duality Theory

      • Constantin Zălinescu
      Pages 155-163

    18. On Controlled Variational Inequalities Involving Convex Functionals

      • Savin Treanţă
      Pages 164-174

    19. On Lagrange Duality for Several Classes of Nonconvex Optimization Problems

      • Ewa M. Bednarczuk, Monika Syga
      Pages 175-181
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  1. Optimization of Complex Systems: Theory, Models, Algorithms and Applications

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About this book

This book contains 112 papers selected from about 250 submissions to the 6th World Congress on Global Optimization (WCGO 2019) which takes place on July 8–10, 2019 at University of Lorraine, Metz, France. The book covers both theoretical and algorithmic aspects of Nonconvex Optimization, as well as its applications to modeling and solving decision problems in various domains. It is composed of 10 parts, each of them deals with either the theory and/or methods in a branch of optimization such as Continuous optimization, DC Programming and DCA, Discrete optimization & Network optimization, Multiobjective programming, Optimization under uncertainty, or models and optimization methods in a specific application area including Data science, Economics & Finance, Energy & Water management, Engineering systems, Transportation, Logistics, Resource allocation & Production management. The researchers and practitioners working in Nonconvex Optimization and several application areas can find here many inspiring ideas and useful tools & techniques for their works.

Editors and Affiliations

  • Computer science and Applications Department, LGIPM, University of Lorraine, Metz Cedex 03, France

    Hoai An Le Thi

  • Computer Science and Applications Department, LGIPM, University of Lorraine, Metz Cedex 03, France

    Hoai Minh Le

  • Laboratory of Mathematics, National Institute for Applied Sciences (INSA)-Rouen Normadie, Saint-Étienne-du-Rouvray Cedex, France

    Tao Pham Dinh

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