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Evolutionary Multi-Criterion Optimization

10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Kalyanmoy Deb

    1. Michigan State University, East Lansing, USA

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  2. Erik Goodman

    1. Michigan State University, East Lansing, USA

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  3. Carlos A. Coello Coello

    1. CINVESTAV-IPN, Mexico, Mexico

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  4. Kathrin Klamroth

    1. University of Wuppertal, Wuppertal, Germany

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  5. Kaisa Miettinen

    1. University of Jyvaskyla, Jyväskylä, Finland

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  6. Sanaz Mostaghim

    1. Otto von Guericke University Magdeburg, Magdeburg, Germany

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  7. Patrick Reed

    1. Cornell University, Ithaca, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11411)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: EMO 2019.

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Table of contents (59 papers)

  1. Front Matter

    Pages I-XX
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  3. Algorithms

    1. Front Matter

      Pages 51-51
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    2. A New Hybrid Metaheuristic for Equality Constrained Bi-objective Optimization Problems

      • Oliver Cuate, Lourdes Uribe, Antonin Ponsich, Adriana Lara, Fernanda Beltran, Alberto Rodríguez Sánchez et al.
      Pages 53-65

    3. Make Evolutionary Multiobjective Algorithms Scale Better with Advanced Data Structures: Van Emde Boas Tree for Non-dominated Sorting

      • Maxim Buzdalov
      Pages 66-77

    4. Toward a New Family of Hybrid Evolutionary Algorithms

      • Lourdes Uribe, Oliver Schütze, Adriana Lara
      Pages 78-90

    5. Adjustment of Weight Vectors of Penalty-Based Boundary Intersection Method in MOEA/D

      • Hui Li, Jianyong Sun, Qingfu Zhang, Yuxiang Shui
      Pages 91-100

    6. GDE4: The Generalized Differential Evolution with Ordered Mutation

      • Azam Asilian Bidgoli, Sedigheh Mahdavi, Shahryar Rahnamayan, Hessein Ebrahimpour-Komleh
      Pages 101-113

    7. Multi-objective Techniques for Single-Objective Local Search: A Case Study on Traveling Salesman Problem

      • Jialong Shi, Jianyong Sun, Qingfu Zhang
      Pages 114-125

    8. Multimodality in Multi-objective Optimization – More Boon than Bane?

      • Christian Grimme, Pascal Kerschke, Heike Trautmann
      Pages 126-138

    9. Solving Nonlinear Equation Systems Using Multiobjective Differential Evolution

      • Jing-Yu Ji, Wei-Jie Yu, Jun Zhang
      Pages 139-150

    10. Process-Monitoring-for-Quality—A Model Selection Criterion for Genetic Programming

      • Carlos A. Escobar, Diana M. Wegner, Abhinav Gaur, Ruben Morales-Menendez
      Pages 151-164

    11. Evolutionary Many-Constraint Optimization: An Exploratory Analysis

      • Mengjun Ming, Rui Wang, Tao Zhang
      Pages 165-176
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  1. Evolutionary Multi-Criterion Optimization

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About this book

This book constitutes the refereed proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2019 held in East Lansing, MI, USA, in March 2019.


The 59 revised full papers were carefully reviewed and selected from 76 submissions. The papers are divided into 8 categories, each representing a key area of current interest in the EMO field today. They include theoretical developments, algorithmic developments, issues in many-objective optimization, performance metrics, knowledge extraction and surrogate-based EMO, multi-objective combinatorial problem solving, MCDM and interactive EMO methods, and applications.

Editors and Affiliations

  • Michigan State University, East Lansing, USA

    Kalyanmoy Deb, Erik Goodman

  • CINVESTAV-IPN, Mexico, Mexico

    Carlos A. Coello Coello

  • University of Wuppertal, Wuppertal, Germany

    Kathrin Klamroth

  • University of Jyvaskyla, Jyväskylä, Finland

    Kaisa Miettinen

  • Otto von Guericke University Magdeburg, Magdeburg, Germany

    Sanaz Mostaghim

  • Cornell University, Ithaca, USA

    Patrick Reed

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