On the public citation graph

Instance Space Analysis for Algorithm Testing: Methodology and Software Tools

https://doi.org/10.1145/3572895
0 signed · 129 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-25147-5_7openalex-snapshot
Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco
inferredcites →https://doi.org/10.1007/978-3-540-73263-1openalex-snapshot
Metalearning - Applications to Data Mining
inferredcites →https://doi.org/10.1007/978-3-642-13800-3_31openalex-snapshot
Pitfalls in Instance Generation for Udine Timetabling
inferredcites →https://doi.org/10.1007/978-3-642-25566-3_41openalex-snapshot
Generalising Algorithm Performance in Instance Space: A Timetabling Case Study
inferredcites →https://doi.org/10.1007/bf02430364openalex-snapshot
Testing heuristics: We have it all wrong
inferredcites →https://doi.org/10.1007/s00500-016-2094-1openalex-snapshot
Towards improved benchmarking of black-box optimization algorithms using clustering problems
inferredcites →https://doi.org/10.1007/s10479-009-0644-yopenalex-snapshot
ITC2007 solver description: a hybrid approach
inferredcites →https://doi.org/10.1007/s10479-010-0716-zopenalex-snapshot
A supernodal formulation of vertex colouring with applications in course timetabling
inferredcites →https://doi.org/10.1007/s10618-005-0039-xopenalex-snapshot
Characteristic-Based Clustering for Time Series Data
inferredcites →https://doi.org/10.1007/s10618-019-00661-zopenalex-snapshot
On normalization and algorithm selection for unsupervised outlier detection
inferredcites →https://doi.org/10.1007/s10951-021-00701-xopenalex-snapshot
Algorithm selection and instance space analysis for curriculum-based course timetabling
inferredcites →https://doi.org/10.1007/s10994-017-5629-5openalex-snapshot
Instance spaces for machine learning classification
inferredcites →https://doi.org/10.1007/s10994-022-06205-9openalex-snapshot
Relating instance hardness to classification performance in a dataset: a visual approach
inferredcites →https://doi.org/10.1016/j.cor.2011.07.006openalex-snapshot
Measuring instance difficulty for combinatorial optimization problems
inferredcites →https://doi.org/10.1016/j.cor.2013.11.015openalex-snapshot
Towards objective measures of algorithm performance across instance space
inferredcites →https://doi.org/10.1016/j.cor.2015.04.022openalex-snapshot
Generating new test instances by evolving in instance space
inferredcites →https://doi.org/10.1016/j.cor.2020.105184openalex-snapshot
Revisiting where are the hard knapsack problems? via Instance Space Analysis
inferredcites →https://doi.org/10.1016/j.ejor.2022.04.012openalex-snapshot
Enhanced instance space analysis for the maximum flow problem
inferredcites →https://doi.org/10.1016/j.ijforecast.2016.09.004openalex-snapshot
Visualising forecasting algorithm performance using time series instance spaces
inferredcites →https://doi.org/10.1016/j.ins.2013.08.059openalex-snapshot
Towards UCI+: A mindful repository design
inferredcites →https://doi.org/10.1016/s0065-2458(08)60520-3openalex-snapshot
The Algorithm Selection Problem
inferredcites →https://doi.org/10.1016/s0169-7439(01)00111-3openalex-snapshot
Looking for natural patterns in data
inferredcites →https://doi.org/10.1017/cbo9780511843747openalex-snapshot
A Guide to Experimental Algorithmics
inferredcites →https://doi.org/10.1057/palgrave.jors.2602523openalex-snapshot
Towards improving the utilization of university teaching space
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/10.1090/dimacs/026/13openalex-snapshot
Exploring the k-colorable landscape with iterated greedy
inferredcites →https://doi.org/10.1093/imamat/6.1.76openalex-snapshot
The Convergence of a Class of Double-rank Minimization Algorithms 1. General Considerations
inferredcites →https://doi.org/10.1109/4235.585893openalex-snapshot
No free lunch theorems for optimization
inferredcites →https://doi.org/10.1109/tit.1983.1056714openalex-snapshot
On the shape of a set of points in the plane
inferredcites →https://doi.org/10.1145/1456650.1456656openalex-snapshot
Cross-disciplinary perspectives on meta-learning for algorithm selection
inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot
LIBSVM
inferredcites →https://doi.org/10.1145/2641190.2641198openalex-snapshot
OpenML
inferredcites →https://doi.org/10.1145/3067695.3082532openalex-snapshot
Generating custom classification datasets by targeting the instance space
inferredcites →https://doi.org/10.1145/3068335openalex-snapshot
DBSCAN Revisited, Revisited
inferredcites →https://doi.org/10.1145/3321707.3321845openalex-snapshot
Algorithm selection using deep learning without feature extraction
inferredcites →https://doi.org/10.1162/evco_a_00194openalex-snapshot
Performance Analysis of Continuous Black-Box Optimization Algorithms via Footprints in Instance Space
inferredcites →https://doi.org/10.1162/evco_a_00262openalex-snapshot
Generating New Space-Filling Test Instances for Continuous Black-Box Optimization
inferredcites →https://doi.org/10.1287/opre.2013.1169openalex-snapshot
Generating Applicable Synthetic Instances for Branch Problems
inferredcites →https://doi.org/10.1287/opre.42.2.201openalex-snapshot
Needed: An Empirical Science of Algorithms
inferredcites →https://doi.org/10.1371/journal.pone.0087178openalex-snapshot
Detecting and Quantifying Topography in Neural Maps
inferredcites →https://doi.org/10.2307/1164825openalex-snapshot
Applied Statistics for the Behavioral Sciences

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-93954-0_44-1openalex-snapshot
Instance Space Analysis for Visualization of Algorithmic Trust
inferred← citeshttps://doi.org/10.1007/978-3-031-62922-8_4openalex-snapshot
An Empirical Analysis of Tabu Lists
inferred← citeshttps://doi.org/10.1007/978-3-031-75623-8_14openalex-snapshot
Applying Instance Space Analysis to Optimize the Construction of Matheuristics
inferred← citeshttps://doi.org/10.1007/978-3-031-78857-4_7openalex-snapshot
Supervised Dimensionality Reduction for the Algorithm Selection Problem
inferred← citeshttps://doi.org/10.1007/978-3-031-86849-8_5openalex-snapshot
Instance Space Analysis and Algorithm Selection for a Parallel Batch Scheduling Problem
inferred← citeshttps://doi.org/10.1007/978-3-031-90062-4_5openalex-snapshot
Search Trajectory Networks Applied to a Real-World Parallel Batch Scheduling Problem
inferred← citeshttps://doi.org/10.1007/978-3-031-90065-5_22openalex-snapshot
Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features?
inferred← citeshttps://doi.org/10.1007/978-3-031-90065-5_24openalex-snapshot
Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing
inferred← citeshttps://doi.org/10.1007/978-3-031-90095-2_4openalex-snapshot
The Cost-Benefit Trade-Off Between Problem-Specific and Algorithm-Specific Meta-learning for the Knapsack Problem
inferred← citeshttps://doi.org/10.1007/978-3-031-97629-2_21openalex-snapshot
To Select or Not to Select? The Role of Meta-features Selection in Meta-learning Tasks with Tabular Data
inferred← citeshttps://doi.org/10.1007/978-3-032-16368-4_44openalex-snapshot
Instance Space Analysis for Visualization of Algorithmic Trust
inferred← citeshttps://doi.org/10.1007/978-3-032-23607-4_19openalex-snapshot
The Next Stage of Evolutionary Computation in the Era of Agentic Generative AI
inferred← citeshttps://doi.org/10.1007/978-3-032-28079-4_10openalex-snapshot
Bit-Vector CHC Solving for Binary Analysis and Binary Analysis for Bit-Vector CHC Solving
inferred← citeshttps://doi.org/10.1007/978-3-032-36229-2_13openalex-snapshot
SemanticViz: Analyzing Semantic Space Exploration of Ensemble Methods
inferred← citeshttps://doi.org/10.1007/978-3-032-39882-6_29openalex-snapshot
Instance-Level Hardness Analysis for Multi-label Classification
inferred← citeshttps://doi.org/10.1007/978-981-99-8388-9_35openalex-snapshot
Dynamic Landscape Analysis for Constrained Multiobjective Optimization Problems
inferred← citeshttps://doi.org/10.1007/s10618-023-00957-1openalex-snapshot
Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation
inferred← citeshttps://doi.org/10.1007/s10618-026-01195-xopenalex-snapshot
Instance space of clustering validation measures
inferred← citeshttps://doi.org/10.1007/s10844-026-01080-5openalex-snapshot
RCT-MARS: when per-query retrieval routing fails, and what it takes to succeed
inferred← citeshttps://doi.org/10.1007/s10994-025-06871-5openalex-snapshot
ISA3: a 3-dimensional expansion of instance space analysis
inferred← citeshttps://doi.org/10.1007/s41060-026-01316-1openalex-snapshot
A parametrized synthetic benchmark and instance difficulty analysis for educational clinical internship scheduling with reciprocal supervision
inferred← citeshttps://doi.org/10.1016/j.apm.2025.115965openalex-snapshot
Understanding instance hardness for optimisation algorithms: Methodologies, open challenges and post-quantum implications
inferred← citeshttps://doi.org/10.1016/j.artint.2024.104207openalex-snapshot
Characterising harmful data sources when constructing multi-fidelity surrogate models
inferred← citeshttps://doi.org/10.1016/j.artint.2026.104605openalex-snapshot
The model counting competitions 2021–2023
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113716openalex-snapshot
Graph-based analysis of problem space and genetic programming classifier performance using optimal transport dataset distance
inferred← citeshttps://doi.org/10.1016/j.cor.2023.106477openalex-snapshot
Verifying new instances of the multidemand multidimensional knapsack problem with instance space analysis
inferred← citeshttps://doi.org/10.1016/j.cor.2024.106747openalex-snapshot
Applying instance space analysis for metaheuristic selection to the 0–1 multidemand multidimensional knapsack problem
inferred← citeshttps://doi.org/10.1016/j.cor.2025.107110openalex-snapshot
Designing state-of-the-art metaheuristics: What have we learned from the parallel-machine scheduling problem with setups?
inferred← citeshttps://doi.org/10.1016/j.cor.2025.107111openalex-snapshot
A block-building constraint programming model for the container loading problem
inferred← citeshttps://doi.org/10.1016/j.cor.2026.107436openalex-snapshot
On solving a share-a-ride problem with forbidden passenger detours
inferred← citeshttps://doi.org/10.1016/j.cor.2026.107603openalex-snapshot
Behavior and representation in open-weight Large Language Models for combinatorial optimization: From feature extraction to algorithm selection
inferred← citeshttps://doi.org/10.1016/j.cor.2026.107621openalex-snapshot
Revisiting local search for Curriculum-Based Course Timetabling
inferred← citeshttps://doi.org/10.1016/j.dib.2026.112568openalex-snapshot
A curated dataset of multi-channel TV program schedules for optimization and benchmarking
inferred← citeshttps://doi.org/10.1016/j.ejor.2023.08.010openalex-snapshot
New benchmark instances for the inventory routing problem
inferred← citeshttps://doi.org/10.1016/j.ejor.2023.12.008openalex-snapshot
Instance space analysis for 2D bin packing mathematical models
inferred← citeshttps://doi.org/10.1016/j.ejor.2024.04.004openalex-snapshot
Fifty years of metaheuristics
inferred← citeshttps://doi.org/10.1016/j.ejor.2024.06.005openalex-snapshot
Which algorithm to select in sports timetabling?
inferred← citeshttps://doi.org/10.1016/j.ejor.2024.06.034openalex-snapshot
A novel dynamic programming heuristic for the quadratic knapsack problem
inferred← citeshttps://doi.org/10.1016/j.ejor.2025.02.006openalex-snapshot
Hybridizing Carousel Greedy and Kernel Search: A new approach for the maximum flow problem with conflict constraints
inferred← citeshttps://doi.org/10.1016/j.ejor.2025.04.019openalex-snapshot
First-improvement or best-improvement? An in-depth local search computational study to elucidate a dominance claim
inferred← citeshttps://doi.org/10.1016/j.ejor.2025.10.029openalex-snapshot
Machine scheduling instance generation by reverse engineering from instance space analysis
inferred← citeshttps://doi.org/10.1016/j.ejor.2026.04.002openalex-snapshot
Obtaining k-degree anonymous networks via mathematical programming
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.116044openalex-snapshot
Behavioral collapse to longest-processing-time scheduling in contract-validated single-prompt large language model heuristic synthesis for identical parallel machine scheduling
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124484openalex-snapshot
Multi-Neighborhood Simulated Annealing for the Capacitated Dispersion Problem
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125895openalex-snapshot
Leveraging constraint programming in a deep learning approach for dynamically solving the flexible job-shop scheduling problem
inferred← citeshttps://doi.org/10.1016/j.future.2026.108703openalex-snapshot
Optimizing data analytics workflow scheduling in cloud–fog computing with GNNs
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108123openalex-snapshot
The role of road features and vehicle dynamics in cost-effective autonomous vehicles safety testing: Insights from instance space analysis
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.133936openalex-snapshot
Harnessing the strengths of machine learning and geostatistics to improve streamflow prediction in ungauged basins; the best of both worlds
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112746openalex-snapshot
A search-based file recommendation approach for infrastructure-as-code evolution
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112378openalex-snapshot
An intensification-driven search algorithm for the family traveling salesman problem with incompatibility constraints
inferred← citeshttps://doi.org/10.1016/j.ordal.2026.200508openalex-snapshot
The Integrated Healthcare Timetabling Competition 2024: Context and analysis
inferred← citeshttps://doi.org/10.1016/j.softx.2025.102246openalex-snapshot
instancespace: A Python package for insightful algorithm testing through Instance Space Analysis
inferred← citeshttps://doi.org/10.1016/j.swevo.2025.101895openalex-snapshot
Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure
inferred← citeshttps://doi.org/10.1039/d6ra05062jopenalex-snapshot
Sustainable nanofiltration of industrial wastewater using waste-derived-graphene oxide-modified polyamide membranes: machine learning toward a smart portable water treatment unit
inferred← citeshttps://doi.org/10.1080/01605682.2026.2653919openalex-snapshot
Commentaries on A. Mor, C. Orsenigo and M.G. Speranza “Optimization and supervised learning for decision making: competitors or partners?”
inferred← citeshttps://doi.org/10.1088/2058-9565/add61dopenalex-snapshot
The travelling salesperson problem and the challenges of near-term quantum advantage
inferred← citeshttps://doi.org/10.1109/cec53210.2023.10254026openalex-snapshot
The Algorithm Selection Problem for Solving Sudoku with Metaheuristics
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228608openalex-snapshot
Instance space analysis of the capacitated vehicle routing problem
inferred← citeshttps://doi.org/10.1109/itsc60802.2025.11423116openalex-snapshot
Accelerating Autonomous Vehicle Safety Testing: A Framework Balancing Scenario Risk and Test Coverage
inferred← citeshttps://doi.org/10.1109/iv66570.2026.11623856openalex-snapshot
Efficient Exploration of Autonomous Driving System Safety Boundaries
inferred← citeshttps://doi.org/10.1109/tevc.2022.3208595openalex-snapshot
An Instance Space Analysis of Constrained Multiobjective Optimization Problems
inferred← citeshttps://doi.org/10.1111/anzs.12441openalex-snapshot
On the diversity of test instances for studying branch‐and‐bound performance
inferred← citeshttps://doi.org/10.1111/itor.70140openalex-snapshot
A unified formulation for home healthcare routing and scheduling problems
inferred← citeshttps://doi.org/10.1145/3583131.3590424openalex-snapshot
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances
inferred← citeshttps://doi.org/10.1145/3638530.3654264openalex-snapshot
Extending Instance Space Analysis to Algorithm Configuration Spaces
inferred← citeshttps://doi.org/10.1145/3638530.3664113openalex-snapshot
Explaining instances in the health domain based on the exploration of a dataset's hardness embedding
inferred← citeshttps://doi.org/10.1145/3646554openalex-snapshot
Generating Cheap Representative Functions for Expensive Automotive Crashworthiness Optimization
inferred← citeshttps://doi.org/10.1145/3673908openalex-snapshot
MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts
inferred← citeshttps://doi.org/10.1145/3699596openalex-snapshot
Instance Space Analysis of Testing of Autonomous Vehicles in Critical Scenarios
inferred← citeshttps://doi.org/10.1145/3712256.3726318openalex-snapshot
Why We Should be Benchmarking Evolutionary Algorithms on Neural Network Training Tasks
inferred← citeshttps://doi.org/10.1145/3712256.3726355openalex-snapshot
Large Neighborhood Search for Capacitated Facility Location with Customer Incompatibilities
inferred← citeshttps://doi.org/10.1145/3712256.3726405openalex-snapshot
Instance Space Analysis of the Capacitated Vehicle Routing Problem with Mixture Discriminant Analysis
inferred← citeshttps://doi.org/10.1145/3722449.3722456openalex-snapshot
Report on the Hands-On PhD Course on Responsible AI from the Lens of an Information Access Researcher
inferred← citeshttps://doi.org/10.1145/3729878.3746615openalex-snapshot
Efficient Online Automated Algorithm Selection in the Face of Data-Drift in Optimisation Problem Instances
inferred← citeshttps://doi.org/10.1145/3729878.3746620openalex-snapshot
Generating Realistic Benchmarks for Dynamic Truck and Trailer Scheduling using Gaussian Copulas
inferred← citeshttps://doi.org/10.1145/3795095.3805073openalex-snapshot
Constructing Streams of Optimization Instances for Benchmarking Algorithm Selection and Configuration Approaches in Streaming Scenarios
inferred← citeshttps://doi.org/10.1145/3795101.3805436openalex-snapshot
Scalable Benchmarking and Problem Instance Analysis using Machine Learning for Metaheuristics --- a Case Study on Multi-Objective Multi-Skill Resource-Constrained Project Scheduling Problem
inferred← citeshttps://doi.org/10.1145/3848031openalex-snapshot
Characterizing and Classifying Self-Admitted Technical Debt in Infrastructure-as-Code
inferred← citeshttps://doi.org/10.1145/3858341openalex-snapshot
An Instance Space Analysis of Neural Network Training as a Black-Box Optimisation Problem
inferred← citeshttps://doi.org/10.11606/t.55.2023.tde-31082023-101122openalex-snapshot
Algorithm selection and performance understanding for time series forecasting
inferred← citeshttps://doi.org/10.1162/evco_a_00367openalex-snapshot
Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multiobjective Continuous Optimization Problems
inferred← citeshttps://doi.org/10.1287/ijoc.2024.0564openalex-snapshot
On the Instance Dependence of Parameter Initialization for the Quantum Approximate Optimization Algorithm: Insights via Instance Space Analysis
inferred← citeshttps://doi.org/10.1590/0101-7438.2026.046.00302988openalex-snapshot
RANKING TIME SERIES ANOMALY DETECTION ALGORITHMS USING META-LEARNING
inferred← citeshttps://doi.org/10.2139/ssrn.5399028openalex-snapshot
Improved Adaptive Memory Search for Binary Integer Programming
inferred← citeshttps://doi.org/10.2139/ssrn.6795468openalex-snapshot
A Trend-Guided Testing Framework Balancing Risk and Coverage to Accelerate Autonomous Vehicle Safety Validation
inferred← citeshttps://doi.org/10.3390/a16060267openalex-snapshot
Learning Individualized Hyperparameter Settings
inferred← citeshttps://doi.org/10.48550/arxiv.2306.00479openalex-snapshot
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances
inferred← citeshttps://doi.org/10.5753/eniac.2025.13857openalex-snapshot
Analyzing datasets under Instance Space Analysis framework: extension and exploration of hardness embeddings
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.