ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2009.12867
  4. Cited By
An Easy-to-use Real-world Multi-objective Optimization Problem Suite

An Easy-to-use Real-world Multi-objective Optimization Problem Suite

27 September 2020
Ryoji Tanabe
H. Ishibuchi
ArXiv (abs)PDFHTML

Papers citing "An Easy-to-use Real-world Multi-objective Optimization Problem Suite"

13 / 63 papers shown
Title
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces
Jaeyeon Ahn
Taehyeon Kim
Seyoung Yun
72
0
0
02 Feb 2022
Multi-objective learner performance-based behavior algorithm with five
  multi-objective real-world engineering problems
Multi-objective learner performance-based behavior algorithm with five multi-objective real-world engineering problems
Chnoor M. Rahman
Tarik Ahmed Rashid
A. Ahmed
Seyedali Mirjalili
48
20
0
15 Jan 2022
A novel multiobjective evolutionary algorithm based on decomposition and
  multi-reference points strategy
A novel multiobjective evolutionary algorithm based on decomposition and multi-reference points strategy
Wang Chen
Jian Chen
Weitian Wu
Xinmin Yang
Hui Li
31
0
0
27 Oct 2021
Multi-task problems are not multi-objective
Multi-task problems are not multi-objective
Michael Ruchte
Josif Grabocka
75
4
0
14 Oct 2021
Explicitly Multi-Modal Benchmarks for Multi-Objective Optimization
Explicitly Multi-Modal Benchmarks for Multi-Objective Optimization
Ryosuke Ota
Reiya Hagiwara
Naoki Hamada
Likun Liu
Takahiro Yamamoto
Daisuke Sakurai
37
1
0
07 Oct 2021
Multi-Objective Bayesian Optimization over High-Dimensional Search
  Spaces
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
Sam Daulton
David Eriksson
Maximilian Balandat
E. Bakshy
121
114
0
22 Sep 2021
Characterization of Constrained Continuous Multiobjective Optimization
  Problems: A Feature Space Perspective
Characterization of Constrained Continuous Multiobjective Optimization Problems: A Feature Space Perspective
Aljoša Vodopija
Tea Tušar
B. Filipič
82
18
0
09 Sep 2021
Bayesian Optimization over Hybrid Spaces
Bayesian Optimization over Hybrid Spaces
Aryan Deshwal
Syrine Belakaria
J. Doppa
77
34
0
08 Jun 2021
Parallel Bayesian Optimization of Multiple Noisy Objectives with
  Expected Hypervolume Improvement
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
Sam Daulton
Maximilian Balandat
E. Bakshy
82
156
0
17 May 2021
Exploring Constraint Handling Techniques in Real-world Problems on
  MOEA/D with Limited Budget of Evaluations
Exploring Constraint Handling Techniques in Real-world Problems on MOEA/D with Limited Budget of Evaluations
Felipe Vaz
Yuri Lavinas
Claus Aranha
Marcelo Ladeira
24
11
0
19 Nov 2020
Identifying Properties of Real-World Optimisation Problems through a
  Questionnaire
Identifying Properties of Real-World Optimisation Problems through a Questionnaire
K. Blom
T. Deist
Vanessa Volz
M. Marchi
Yusuke Nojima
B. Naujoks
A. Oyama
Tea Tušar
25
14
0
11 Nov 2020
Benchmarking in Optimization: Best Practice and Open Issues
Benchmarking in Optimization: Best Practice and Open Issues
Thomas Bartz-Beielstein
Carola Doerr
Daan van den Berg
Jakob Bossek
Sowmya Chandrasekaran
...
B. Naujoks
Patryk Orzechowski
Vanessa Volz
Markus Wagner
T. Weise
138
112
0
07 Jul 2020
Differentiable Expected Hypervolume Improvement for Parallel
  Multi-Objective Bayesian Optimization
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
Sam Daulton
Maximilian Balandat
E. Bakshy
110
243
0
09 Jun 2020
Previous
12