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IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics

https://doi.org/10.1145/3510426
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Evolving Objects: A General Purpose Evolutionary Computation Library
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Estimation of Distribution Algorithms
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Theory of Evolutionary Computation
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Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices
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To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes
inferredcites →https://doi.org/10.1007/978-3-319-01436-4_10openalex-snapshot
Architecture and Design of the HeuristicLab Optimization Environment
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Pyomo — Optimization Modeling in Python
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On the Computation of the Empirical Attainment Function
inferredcites →https://doi.org/10.1007/978-3-642-25566-3_40openalex-snapshot
Sequential Model-Based Optimization for General Algorithm Configuration
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Introduction to Evolutionary Computing
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On the histogram as a density estimator:L 2 theory
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Threshold accepting: A general purpose optimization algorithm appearing superior to simulated annealing
inferredcites →https://doi.org/10.1016/j.asoc.2019.105901openalex-snapshot
A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms
inferredcites →https://doi.org/10.1016/j.asoc.2019.105977openalex-snapshot
DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms
inferredcites →https://doi.org/10.1016/j.asoc.2019.106027openalex-snapshot
Benchmarking discrete optimization heuristics with IOHprofiler
inferredcites →https://doi.org/10.1016/j.asoc.2020.106737openalex-snapshot
Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond
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A Novel Approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics
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The irace package: Iterated racing for automatic algorithm configuration
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A Taxonomy of Global Optimization Methods Based on Response Surfaces
inferredcites →https://doi.org/10.1023/b:heur.0000026900.92269.ecopenalex-snapshot
ParadisEO: A Framework for the Reusable Design of Parallel and Distributed Metaheuristics
inferredcites →https://doi.org/10.1057/9780230226203.3178openalex-snapshot
non-parametric statistical methods
inferredcites →https://doi.org/10.1080/10556788.2020.1808977openalex-snapshot
COCO: a platform for comparing continuous optimizers in a black-box setting
inferredcites →https://doi.org/10.1088/1751-8113/49/16/165001openalex-snapshot
Low autocorrelation binary sequences
inferredcites →https://doi.org/10.1109/cec.2016.7748359openalex-snapshot
The R-Package FLACCO for exploratory landscape analysis with applications to multi-objective optimization problems
inferredcites →https://doi.org/10.1109/iros.2012.6386109openalex-snapshot
MuJoCo: A physics engine for model-based control
inferredcites →https://doi.org/10.1109/smc.2017.8122656openalex-snapshot
A new acquisition function for Bayesian optimization based on the moment-generating function
inferredcites →https://doi.org/10.1109/ssci.2016.7850138openalex-snapshot
Evolving the structure of Evolution Strategies
inferredcites →https://doi.org/10.1109/tevc.2014.2308294openalex-snapshot
Parameter Control in Evolutionary Algorithms: Trends and Challenges
inferredcites →https://doi.org/10.1126/science.220.4598.671openalex-snapshot
Optimization by Simulated Annealing
inferredcites →https://doi.org/10.1137/080724083openalex-snapshot
Benchmarking Derivative-Free Optimization Algorithms
inferredcites →https://doi.org/10.1142/s021821300600262xopenalex-snapshot
GENERICITY IN EVOLUTIONARY COMPUTATION SOFTWARE TOOLS: PRINCIPLES AND CASE-STUDY
inferredcites →https://doi.org/10.1145/1830761.1830790openalex-snapshot
Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009
inferredcites →https://doi.org/10.1145/2330784.2330928openalex-snapshot
Bioinspired Computation in Combinatorial Optimization : Algorithms and Their Computational Complexity
inferredcites →https://doi.org/10.1145/2739482.2768462openalex-snapshot
Redesigning the jMetal Multi-Objective Optimization Framework
inferredcites →https://doi.org/10.1145/3205455.3205621openalex-snapshot
Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics
inferredcites →https://doi.org/10.1145/3205651.3205658openalex-snapshot
Bayesian inference for algorithm ranking analysis
inferredcites →https://doi.org/10.1145/3205651.3208240openalex-snapshot
Difficult features of combinatorial optimization problems and the tunable w-model benchmark problem for simulating them
inferredcites →https://doi.org/10.1145/3319619.3326865openalex-snapshot
ECJ at 20
inferredcites →https://doi.org/10.1145/3319619.3326888openalex-snapshot
Bayesian performance analysis for black-box optimization benchmarking
inferredcites →https://doi.org/10.1145/3321707.3321801openalex-snapshot
Predict or screen your expensive assay
inferredcites →https://doi.org/10.1145/3321707.3321868openalex-snapshot
Mixed-integer benchmark problems for single- and bi-objective optimization
inferredcites →https://doi.org/10.1145/3377930.3389838openalex-snapshot
Versatile black-box optimization
inferredcites →https://doi.org/10.1145/3377930.3390185openalex-snapshot
Algorithm selection of anytime algorithms
inferredcites →https://doi.org/10.1145/3449726.3463155openalex-snapshot
Towards large scale automated algorithm design by integrating modular benchmarking frameworks
inferredcites →https://doi.org/10.1145/3449726.3463167openalex-snapshot
Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules
inferredcites →https://doi.org/10.1145/3449726.3463218openalex-snapshot
Is there anisotropy in structural bias?
inferredcites →https://doi.org/10.1162/evco_a_00184openalex-snapshot
Gray Box Optimization for Mk Landscapes (NK Landscapes and MAX-kSAT)
inferredcites →https://doi.org/10.32614/cran.package.shinyopenalex-snapshot
shiny: Web Application Framework for R
inferredcites →https://doi.org/10.3390/math8050785openalex-snapshot
The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms
inferredcites →https://doi.org/10.48550/arxiv.1603.06560openalex-snapshot
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
inferredcites →https://doi.org/10.48550/arxiv.1605.03560openalex-snapshot
COCO: Performance Assessment
inferredcites →https://doi.org/10.48550/arxiv.1810.05281openalex-snapshot
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics
inferredcites →https://doi.org/10.5281/zenodo.5599718openalex-snapshot
IOHanalyzer version 0.1.6.1 + example datasets
inferredcites →https://doi.org/10.7551/mitpress/1290.001.0001openalex-snapshot
Ant Colony Optimization

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features
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High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
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To Switch or Not to Switch: Predicting the Benefit of Switching Between Algorithms Based on Trajectory Features
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The Inefficiency of Genetic Programming for Symbolic Regression
inferred← citeshttps://doi.org/10.1007/978-3-031-70068-2_2openalex-snapshot
Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler
inferred← citeshttps://doi.org/10.1007/978-3-031-85252-7_17openalex-snapshot
A Comparison of Clustering Approaches for Metaheuristic Behaviour Data
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Uncertainty-Aware Graph Integration: A Fuzzy Logic Approach with Comparative Analysis
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The Suffering Salesperson
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A Generator for Creating Streaming Continuous Optimisation Benchmarks
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Hyperparameter Tuning for Machine and Deep Learning with R
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Using Individual Problem Instances for Exploratory Black Box Optimisation Benchmarking: A Case Study Using XOR Neural Networks
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XAI for Benchmarking Black-Box Metaheuristics
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MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler
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A performance analysis of Basin hopping compared to established metaheuristics for global optimization
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Constrained multi-objective state transition algorithm via adaptive bidirectional coevolution
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Parallel multi-objective optimization for expensive and inexpensive objectives and constraints
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Diversity-Preserving Exploitation of Crossover
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Derivative-Free Emergent Optimization via Local Rules and Cellular Automata
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Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler
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Trajectory-based Algorithm Selection with Warm-starting
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OPTION: OPTImization Algorithm Benchmarking ONtology
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Optimizing With Low Budgets: A Comparison on the Black-Box Optimization Benchmarking Suite and OpenAI Gym
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An Indicator-Based Evolutionary Algorithm for Large-Scale Constrained Multiobjective Optimization
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Using structural bias to analyse the behaviour of modular CMA-ES
inferred← citeshttps://doi.org/10.1145/3520304.3534050openalex-snapshot
Implementing the cumulative difference plot in the IOHanalyzer
inferred← citeshttps://doi.org/10.1145/3520304.3534071openalex-snapshot
IOHanalyzer: Detailed performance analyses for iterative optimization heuristics
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When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems
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Using Affine Combinations of BBOB Problems for Performance Assessment
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Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms
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Replicable Self-Documenting Experiments with Arbitrary Search Spaces and Algorithms
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Comparison of Bayesian Optimization Algorithms for BBOB Problems in Dimensions 10 and 60
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Evaluation of Algorithms from the Nevergrad Toolbox on the Strictly Box-Constrained SBOX-COST Benchmarking Suite
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Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite
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Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite
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General Boolean Function Benchmark Suite
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Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics
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Hot off the Press: Parallel Multi-Objective Optimization for Expensive and Inexpensive Objectives and Constraints
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A Critical Analysis of Raven Roost Optimization
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Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
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A Standardized Benchmark Set of Clustering Problem Instances for Comparing Black-Box Optimizers
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