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Research map / Learning theory and algorithms / Combinatorial and search optimization

Heuristic and local search algorithms

Develops bidirectional, anytime and local search with approximation guarantees.

147 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026) · an approach in Combinatorial and search optimization, keyword cluster “planning · search algorithm · tree search”

State History Tried Checklist Preprints Who Export

Where it stands

Not enough benchmark data Fewer than four papers report the same benchmark, so there is no record to follow.

19 papers in 2023–24 and 33 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic grew, from 5.5% to 9.1%.

How this is decided

A benchmark is tracked when at least four papers of this approach report their own method on the same dataset and metric in at least two different years. Its record is the best number reported up to 2024 compared with the best reported in 2025–26: still improving means at least 1% better, flat means at most 0.2% better with at least two papers from 2025–26 trying. Numbers on a different scale from the rest (a fraction among percentages) and far outliers are left out. Results come from different papers with different setups, so they are signals, not head-to-head comparisons. The share of papers is counted at ICML, NeurIPS, ICLR, CVPR and AAAI.

How it got here

2016: 20162017: 16172018: 8182019: 16192020: 16202021: 10212022: 9222023: 15232024: 4242025: 18252026: 1526

Most cited paper of each year

Earliest papers here

What has been tried

127 papers here report 1,139 measured changes (a component added, removed or swapped, compared with a baseline): helped 67%, no clear effect 9%, hurt 19%, mixed 5%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
add final random projectionMS MARCO · Recall@10077.71 -> 78.82HelpedMUVERA: Multi-Vector Retrieval via Fixed Dimensional Encoding (NeurIPS 2024 · 7 citations)
add the adaptive perturbation mechanismhardware, k=100 · diversity quality251325612 -> 270244214HelpedDiverSAT: A Novel and Effective Local Search Algorithm for Diverse SAT Problem (AAAI 2025 · 1 citation)
use nearest-neighbor importance weighting instead of uniform samplingSmall scale · ΔRO (%)above 1.2% over uniform samplingHelpedOneBatchPAM: A Fast and Frugal K-Medoids Algorithm (AAAI 2025 · 1 citation)
Arrange Zipfian query weights smoothly over space instead of randomlySynthetic 3D Zipfian distributions · average query depthHelpedLearning-Augmented Search Data Structures (ICLR 2025 · 1 citation)
increase aspect from 1 to 500Pancake problem, unit cost · time to solveHelpedRectangle Search: An Anytime Beam Search (AAAI 2024 · 1 citation)
add the weighting strategy in WSA26 representative second-category instances · objective value20 wins, 4 losses (best); 25 wins, 1 loss (average)HelpedAn Elite-guided Weighted Simulated Annealing Algorithm for the Clique Partitioning Problem (AAAI 2025 · 0 citations)
Add a weak PDB(12-15) lookup to the strong PDB(0-11) lookupTOH(22) and TOH(24) · expansions413,828 -> 3,861,445; 2,805,473 -> 60,908,811HurtAnchor Search: A Unified Framework for Suboptimal Bidirectional Search (AAAI 2025 · 0 citations)
Normalize AUC and Norm-f across 20 instances before evaluating a configurationMaxSAT solver configuration · configuration performanceNo clear effectBetter Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis (AAAI 2025 · 0 citations)
set ϵ from 0 to 0.1EPFL stereo faces, k=4 · reconstruction error13614 -> 15065HurtMulti-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract) (AAAI 2025 · 0 citations)
Replace the octile heuristic with a differential heuristic using 10 pivotsDW Mazes32 · node expansionsHelpedSuboptimal Search with Dynamic Distribution of Suboptimality (AAAI 2025 · 0 citations)
increase diversity parameter m from 1 to 2Skewed SIFT · build time50 -> 53HurtGraph-Based Algorithms for Diverse Similarity Search (ICML 2025 · 0 citations)

What reviewers will expect

Datasets and baselines named in the 19 papers of this approach from 2025–2026 that have a full-text summary. Leaving out the common ones is a frequent review question.

Baselines

  • GBFS · 2 of 19 papers
  • Random · 2 of 19 papers

Recent preprints

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    Who publishes on it

    Institutions on the most papers of this approach since 2023 (of 52 papers; from OpenAlex and the papers' affiliations).

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    Download BibTeX of 40 key papersOpen the topic in the interactive map

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    Same keyword cluster

    Elsewhere in the topic

    Benchmark numbers, ablations and baseline numbers are extracted by AI from each paper's full text and can be wrong; the paper is the authority. Data: results index of 2026-11-02, citation counts from OpenAlex (2026-10-09).

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