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Evolutionary Multi-Criterion Optimization

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

  • Kalyanmoy Deb
  • Erik Goodman
  • Carlos A. Coello Coello
  • Kathrin Klamroth
  • Kaisa Miettinen
  • Sanaz Mostaghim
  • Patrick Reed
Conference proceedings EMO 2019

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

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11411)

Table of contents

  1. Front Matter
    Pages I-XX
  2. Theory

  3. Algorithms

    1. Front Matter
      Pages 51-51
    2. Oliver Cuate, Lourdes Uribe, Antonin Ponsich, Adriana Lara, Fernanda Beltran, Alberto Rodríguez Sánchez et al.
      Pages 53-65
    3. Lourdes Uribe, Oliver Schütze, Adriana Lara
      Pages 78-90
    4. Hui Li, Jianyong Sun, Qingfu Zhang, Yuxiang Shui
      Pages 91-100
    5. Azam Asilian Bidgoli, Sedigheh Mahdavi, Shahryar Rahnamayan, Hessein Ebrahimpour-Komleh
      Pages 101-113
    6. Christian Grimme, Pascal Kerschke, Heike Trautmann
      Pages 126-138
    7. Carlos A. Escobar, Diana M. Wegner, Abhinav Gaur, Ruben Morales-Menendez
      Pages 151-164
    8. Mengjun Ming, Rui Wang, Tao Zhang
      Pages 165-176
  4. Many-Objective EMO

    1. Front Matter
      Pages 177-177
    2. Auraham Camacho, Gregorio Toscano, Ricardo Landa, Hisao Ishibuchi
      Pages 216-228
    3. Julian Blank, Kalyanmoy Deb, Proteek Chandan Roy
      Pages 229-240
    4. Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers
      Pages 241-253
    5. Alberto Rodríguez Sánchez, Antonin Ponsich, Antonio López Jaimes, Saúl Zapotecas Martínez
      Pages 254-265
    6. Deepak Sharma, Syed Zaheer Basha, Sandula Ajay Kumar
      Pages 278-290
    7. Yi Wu, Bin Li, Sanchao Ding, Yinda Zhou
      Pages 291-304
  5. Performance Metrics and Indicators

    1. Front Matter
      Pages 305-305
    2. Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello, Michael Emmerich
      Pages 307-318
    3. Sabrina Oliveira, Elizabeth F. Wanner, Sérgio R. de Souza, Leonardo C. T. Bezerra, Thomas Stützle
      Pages 319-331
    4. Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima
      Pages 332-345
    5. Yali Wang, Michael Emmerich, André Deutz, Thomas Bäck
      Pages 346-358
    6. André Deutz, Michael Emmerich, Kaifeng Yang
      Pages 359-370
  6. Innovization and Surrogates

    1. Front Matter
      Pages 371-371
    2. Proteek Chandan Roy, Rayan Hussein, Julian Blank, Kalyanmoy Deb
      Pages 373-385
    3. Yuri Marca, Hernán Aguirre, Saúl Zapotecas Martinez, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel et al.
      Pages 386-398
    4. Heiner Zille, Sanaz Mostaghim
      Pages 399-410
    5. Taishi Ito, Hernán Aguirre, Kiyoshi Tanaka, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel
      Pages 411-423
    6. João A. Duro, Robin C. Purshouse, Shaul Salomon, Daniel C. Oara, Visakan Kadirkamanathan, Peter J. Fleming
      Pages 424-438
    7. Julian Schulte, Niclas Feldkamp, Sören Bergmann, Volker Nissen
      Pages 439-450
    8. Aimin Zhou, Haoying Zhao, Hu Zhang, Guixu Zhang
      Pages 451-462
    9. Atanu Mazumdar, Tinkle Chugh, Kaisa Miettinen, Manuel López-Ibáñez
      Pages 463-474
    10. Bai Yan, Qi Zhao, J. Andrew Zhang, Yonghui Li, Zhihai Wang
      Pages 475-487
  7. Combinatorial EMO

    1. Front Matter
      Pages 489-489
    2. Wanru Gao, Mojgan Pourhassan, Vahid Roostapour, Frank Neumann
      Pages 504-515
    3. Jakob Bossek, Christian Grimme, Stephan Meisel, Günter Rudolph, Heike Trautmann
      Pages 516-528
    4. Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas
      Pages 529-540

About these proceedings

Introduction

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.

Keywords

artificial intelligence computer networks evolutionary algorithms evolutionary computation evolutionary multiobjective optimization genetic algorithms graph theory heuristic methods machine learning metaheuristics multiobjective optimization NSGA-II numerical methods optimal solutions pareto front pareto principle pareto-optimal problem solving simulated annealing telecommunication traffic

Editors and affiliations

  1. 1.Michigan State UniversityEast LansingUSA
  2. 2.Michigan State UniversityEast LansingUSA
  3. 3.CINVESTAV-IPNMexicoMexico
  4. 4.University of WuppertalWuppertalGermany
  5. 5.University of JyvaskylaJyväskyläFinland
  6. 6.Otto von Guericke University MagdeburgMagdeburgGermany
  7. 7.Cornell UniversityIthacaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-12598-1
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-12597-4
  • Online ISBN 978-3-030-12598-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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