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Using Well-Understood Single-Objective Functions in Multiobjective
  Black-Box Optimization Test Suites
v1v2v3 (latest)

Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites

1 April 2016
D. Brockhoff
Tea Tušar
A. Auger
N. Hansen
ArXiv (abs)PDFHTML

Papers citing "Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites"

16 / 16 papers shown
Title
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
Zhou Lu
Qiuyi Zhang
Xinyi Chen
Fred Zhang
David P. Woodruff
Elad Hazan
59
0
0
17 Jan 2024
Faster Convergence in Multi-Objective Optimization Algorithms Based on
  Decomposition
Faster Convergence in Multi-Objective Optimization Algorithms Based on Decomposition
Yuri Lavinas
Marcelo Ladeira
Claus Aranha
32
3
0
21 Dec 2021
To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing
  Multi-objective Landscapes
To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes
Lennart Schäpermeier
C. Grimme
P. Kerschke
58
11
0
29 Nov 2020
Non-elitist Evolutionary Multi-objective Optimizers Revisited
Non-elitist Evolutionary Multi-objective Optimizers Revisited
Ryoji Tanabe
H. Ishibuchi
37
4
0
30 Sep 2020
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization
  Heuristics
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics
Hongya Wang
Diederick Vermetten
Furong Ye
Carola Doerr
Thomas Bäck
150
48
0
08 Jul 2020
One PLOT to Show Them All: Visualization of Efficient Sets in
  Multi-Objective Landscapes
One PLOT to Show Them All: Visualization of Efficient Sets in Multi-Objective Landscapes
Lennart Schäpermeier
C. Grimme
P. Kerschke
32
16
0
20 Jun 2020
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box
  Optimization
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
Daniel Golovin
Qiuyi Zhang
87
75
0
08 Jun 2020
Benchmarking Discrete Optimization Heuristics with IOHprofiler
Benchmarking Discrete Optimization Heuristics with IOHprofiler
Carola Doerr
Furong Ye
Naama Horesh
Hao Wang
O. M. Shir
Thomas Bäck
91
73
0
19 Dec 2019
Optimizing Deep Neural Networks with Multiple Search Neuroevolution
Optimizing Deep Neural Networks with Multiple Search Neuroevolution
Ahmed Aly
David Weikersdorfer
C. Delaunay
43
7
0
17 Jan 2019
Automated Algorithm Selection: Survey and Perspectives
Automated Algorithm Selection: Survey and Perspectives
P. Kerschke
Holger H. Hoos
Frank Neumann
Heike Trautmann
82
384
0
28 Nov 2018
Challenges of Convex Quadratic Bi-objective Benchmark Problems
Challenges of Convex Quadratic Bi-objective Benchmark Problems
Tobias Glasmachers
13
4
0
23 Oct 2018
mlrMBO: A Modular Framework for Model-Based Optimization of Expensive
  Black-Box Functions
mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions
B. Bischl
Jakob Richter
Jakob Bossek
Daniel Horn
Janek Thomas
Michel Lang
78
169
0
09 Mar 2017
Surrogate-Assisted Partial Order-based Evolutionary Optimisation
Surrogate-Assisted Partial Order-based Evolutionary Optimisation
Vanessa Volz
G. Rudolph
B. Naujoks
18
7
0
01 Nov 2016
Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES
  (HMO-CMA-ES)
Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES)
I. Loshchilov
Tobias Glasmachers
41
11
0
09 May 2016
Biobjective Performance Assessment with the COCO Platform
Biobjective Performance Assessment with the COCO Platform
D. Brockhoff
Tea Tušar
Dejan Tusar
Tobias Wagner
N. Hansen
A. Auger
56
30
0
05 May 2016
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box
  Setting
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
N. Hansen
A. Auger
Raymond Ros
Olaf Mersmann
Tea Tušar
D. Brockhoff
90
430
0
29 Mar 2016
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