Skip to main content
Springer Nature Link
Log in

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Erik Goodman

    1. Michigan State University, East Lansing, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Carlos A. Coello Coello

    1. CINVESTAV-IPN, Mexico, Mexico

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Kathrin Klamroth

    1. University of Wuppertal, Wuppertal, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Kaisa Miettinen

    1. University of Jyvaskyla, Jyväskylä, Finland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  6. Sanaz Mostaghim

    1. Otto von Guericke University Magdeburg, Magdeburg, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  7. Patrick Reed

    1. Cornell University, Ithaca, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

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.

Similar content being viewed by others

Keywords

Table of contents (59 papers)

  1. Front Matter

    Pages I-XX
    Download chapter PDF

  3. Algorithms

    1. Front Matter

      Pages 51-51
      Download chapter PDF

    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
Back to top

Other volumes

  1. Evolutionary Multi-Criterion Optimization

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

Bibliographic Information

Publish with us

Policies and ethics

Back to top
pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy