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IOHanalyzer: Detailed Performance Analyses for Iterative Optimization
  Heuristics

IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics

8 July 2020
Hongya Wang
Diederick Vermetten
Furong Ye
Carola Doerr
Thomas Bäck
ArXivPDFHTML

Papers citing "IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics"

17 / 17 papers shown
Title
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
Niki van Stein
Thomas Bäck
69
17
0
30 May 2024
Is there Anisotropy in Structural Bias?
Is there Anisotropy in Structural Bias?
Diederick Vermetten
Anna V. Kononova
Fabio Caraffini
Hao Wang
Thomas Bäck
28
7
0
10 May 2021
Tuning as a Means of Assessing the Benefits of New Ideas in Interplay
  with Existing Algorithmic Modules
Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules
Jacob De Nobel
Diederick Vermetten
Hao Wang
Carola Doerr
Thomas Bäck
39
45
0
25 Feb 2021
Towards Large Scale Automated Algorithm Design by Integrating Modular
  Benchmarking Frameworks
Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks
Amine Aziz-Alaoui
Carola Doerr
Johann Dréo
49
12
0
12 Feb 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
44
11
0
29 Nov 2020
Versatile Black-Box Optimization
Versatile Black-Box Optimization
Jialin Liu
A. Moreau
Mike Preuss
Baptiste Roziere
Jérémy Rapin
F. Teytaud
O. Teytaud
33
38
0
29 Apr 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
79
72
0
19 Dec 2019
Interpolating Local and Global Search by Controlling the Variance of
  Standard Bit Mutation
Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation
Furong Ye
Carola Doerr
Thomas Bäck
51
24
0
17 Jan 2019
IOHprofiler: A Benchmarking and Profiling Tool for Iterative
  Optimization Heuristics
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics
Carola Doerr
Hao Wang
Furong Ye
Sander van Rijn
Thomas Bäck
56
108
0
11 Oct 2018
Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box
  Optimization Heuristics: Profiling $(1+λ)$ EA Variants on OneMax and
  LeadingOnes
Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling (1+λ)(1+λ)(1+λ) EA Variants on OneMax and LeadingOnes
Carola Doerr
Furong Ye
Sander van Rijn
Hao Wang
Thomas Bäck
33
22
0
17 Aug 2018
Theory of Parameter Control for Discrete Black-Box Optimization:
  Provable Performance Gains Through Dynamic Parameter Choices
Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices
Benjamin Doerr
Carola Doerr
30
75
0
16 Apr 2018
Evolving the Structure of Evolution Strategies
Evolving the Structure of Evolution Strategies
Sander van Rijn
Hao Wang
M. Leeuwen
Thomas Bäck
72
56
0
17 Oct 2016
COCO: Performance Assessment
COCO: Performance Assessment
N. Hansen
A. Auger
D. Brockhoff
Dejan Tusar
Tea Tušar
52
105
0
11 May 2016
Using Well-Understood Single-Objective Functions in Multiobjective
  Black-Box Optimization Test Suites
Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites
D. Brockhoff
Tea Tušar
A. Auger
N. Hansen
37
57
0
01 Apr 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
57
424
0
29 Mar 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Lisha Li
Kevin Jamieson
Giulia DeSalvo
Afshin Rostamizadeh
Ameet Talwalkar
222
2,327
0
21 Mar 2016
CMA-ES with Two-Point Step-Size Adaptation
CMA-ES with Two-Point Step-Size Adaptation
Nikolaus Hansen
114
575
0
02 May 2008
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