# Optimization

Source: [Optimization](<https://www.sota2.com/research/dataset/optimization>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Benchmarks

Page 1 of 3. This is an index page, not the full collection.

- [Next index page](<https://www.sota2.com/research/dataset/optimization.md?page=2>): Follow this link to discover more pages.

- [Molecular Optimization on Practical Molecular Optimization (PMO)](<https://www.sota2.com/research/sota/molecular-optimization-on-practical-molecular-optimization-pmo.md>): Molecular Optimization; Practical Molecular Optimization (PMO).

- [Goal-directed Lead Optimization on PARP1, FA7, 5HT1B, BRAF, JAK2 (delta=0.6)](<https://www.sota2.com/research/sota/goal-directed-lead-optimization-on-parp1-fa7-5ht1b-braf-jak2-delta-0-6.md>): Goal-directed Lead Optimization; Lead Optimization Docking Targets parp1 fa7 5ht1b braf jak2 delta=0.6.

- [Binary Optimization on GA-Elite Problems (Seen and Unseen Classes)](<https://www.sota2.com/research/sota/binary-optimization-on-ga-elite-problems-seen-and-unseen-classes.md>): Binary Optimization; Binary Optimization Problems GA-Elite (Seen and Unseen Problem Classes).

- [Binary Optimization on BRKGA Problems (Seen and Unseen Classes)](<https://www.sota2.com/research/sota/binary-optimization-on-brkga-problems-seen-and-unseen-classes.md>): Binary Optimization; Binary Optimization Problems (BRKGA) (Seen and Unseen Problem Classes).

- [Blackbox Optimization on Ackley, Levy, and Rastrigin Functions (Test)](<https://www.sota2.com/research/sota/blackbox-optimization-on-ackley-levy-and-rastrigin-functions-test.md>): Blackbox optimization; Blackbox optimization functions Ackley, Levy, Rastrigin high-dimensional (test).

- [Bayesian Optimization on 50 Optimization Problems (COCO, BoTorch, Bayesmark Aggregated)](<https://www.sota2.com/research/sota/bayesian-optimization-on-50-optimization-problems-coco-botorch-bayesmark-aggregated.md>): Bayesian Optimization; 50 optimization problems COCO, BoTorch, Bayesmark (aggregated).

- [Multi-period Portfolio Optimization](<https://www.sota2.com/research/sota/multi-period-portfolio-optimization.md>): Portfolio Optimization; Multi-period Portfolio Optimization.

- [Least-squares Optimization on Least-squares Optimization (test)](<https://www.sota2.com/research/sota/least-squares-optimization-on-least-squares-optimization-test.md>): Least-squares Optimization; Least-squares Optimization (test).

- [Consensus Optimization (test)](<https://www.sota2.com/research/sota/consensus-optimization-test.md>): Consensus Optimization; Consensus Optimization (test).

- [Prompt Optimization on Prompt Optimization Benchmark](<https://www.sota2.com/research/sota/prompt-optimization-on-prompt-optimization-benchmark.md>): Prompt Optimization; Prompt Optimization Benchmark.

- [Portfolio optimization on Portfolio optimization Degree 7 (test)](<https://www.sota2.com/research/sota/portfolio-optimization-on-portfolio-optimization-degree-7-test.md>): Portfolio optimization; Portfolio optimization Degree 7 (test).

- [Portfolio Optimization on Portfolio Degree 3 (test)](<https://www.sota2.com/research/sota/portfolio-optimization-on-portfolio-degree-3-test.md>): Portfolio optimization; Portfolio optimization Degree 3 (test).

- [Portfolio Optimization on Portfolio optimization Degree 1 (test)](<https://www.sota2.com/research/sota/portfolio-optimization-on-portfolio-optimization-degree-1-test.md>): Portfolio optimization; Portfolio optimization Degree 1 (test).

- [Insight-level Evaluation on SCOpE-QA Preference Optimization collection](<https://www.sota2.com/research/sota/insight-level-evaluation-on-scope-qa-preference-optimization-collection.md>): Insight-level Evaluation; SCOpE-QA Preference Optimization collection.

- [Insight-level Evaluation on SCOpE-QA Inference Optimization collection](<https://www.sota2.com/research/sota/insight-level-evaluation-on-scope-qa-inference-optimization-collection.md>): Insight-level Evaluation; SCOpE-QA Inference Optimization collection.

- [Constrained Optimization (Linear Constraints) on Optimization 1 TE1 out-of-distribution (test)](<https://www.sota2.com/research/sota/constrained-optimization-linear-constraints-on-optimization-1-te1-out-of-distribution-test.md>): Constrained Optimization (Linear Constraints); Optimization 1 TE1 out-of-distribution (test).

- [Constrained Optimization (Linear Constraints) on Optimization 1 TE1 in-distribution (test)](<https://www.sota2.com/research/sota/constrained-optimization-linear-constraints-on-optimization-1-te1-in-distribution-test.md>): Constrained Optimization (Linear Constraints); Optimization 1 TE1 in-distribution (test).

- [Constrained Optimization (Linear and Convex Quadratic Constraints) on Optimization TE2 out-of-distribution (test)](<https://www.sota2.com/research/sota/constrained-optimization-linear-and-convex-quadratic-constraints-on-optimization-te2-out-of-distribution-test.md>): Constrained Optimization (Linear and Convex Quadratic Constraints); Optimization TE2 out-of-distribution 2 (test).

- [Constrained Optimization (Linear and Convex Quadratic Constraints) on Optimization 2 TE2 in-distribution (test)](<https://www.sota2.com/research/sota/constrained-optimization-linear-and-convex-quadratic-constraints-on-optimization-2-te2-in-distribution-test.md>): Constrained Optimization (Linear and Convex Quadratic Constraints); Optimization 2 TE2 in-distribution (test).

- [Universal Targeted Adversarial Attack on Seen Samples (Used for Optimization) (train)](<https://www.sota2.com/research/sota/universal-targeted-adversarial-attack-on-seen-samples-used-for-optimization-train.md>): Universal Targeted Adversarial Attack; Seen Samples (Used for Optimization) (train).

- [Non-convex Optimization on Finite-sum Exact Full-Gradient Initialization](<https://www.sota2.com/research/sota/non-convex-optimization-on-finite-sum-exact-full-gradient-initialization.md>): Non-convex optimization; Finite-sum optimization exact full-gradient initialization.

- [Assortment Optimization on Assortment Optimization Dataset (test)](<https://www.sota2.com/research/sota/assortment-optimization-on-assortment-optimization-dataset-test.md>): Assortment Optimization; Assortment Optimization Dataset (test).

- [Combinatorial Optimization on REMS Combinatorial Optimization Problem Suite 10 types (overall)](<https://www.sota2.com/research/sota/combinatorial-optimization-on-rems-combinatorial-optimization-problem-suite-10-types-overall.md>): Combinatorial Optimization; REMS Combinatorial Optimization Problem Suite 10 types (overall).

- [Design Optimization on 10 optimization shared-core domains](<https://www.sota2.com/research/sota/design-optimization-on-10-optimization-shared-core-domains.md>): Design Optimization; 10 optimization shared-core domains.

- [Molecular Optimization on Molecular Pharmacology Optimization](<https://www.sota2.com/research/sota/molecular-optimization-on-molecular-pharmacology-optimization.md>): Molecular Optimization; Molecular Pharmacology Optimization.

- [VRP optimization-modeling on VRP Optimization-Modeling Benchmark 4](<https://www.sota2.com/research/sota/vrp-optimization-modeling-on-vrp-optimization-modeling-benchmark-4.md>): VRP optimization-modeling; VRP Optimization-Modeling Benchmark 4.

- [VRP optimization-modeling on VRP Optimization-Modeling Benchmark 3](<https://www.sota2.com/research/sota/vrp-optimization-modeling-on-vrp-optimization-modeling-benchmark-3.md>): VRP optimization-modeling; VRP Optimization-Modeling Benchmark 3.

- [VRP Optimization-Modeling on VRP Optimization-Modeling Benchmark 2](<https://www.sota2.com/research/sota/vrp-optimization-modeling-on-vrp-optimization-modeling-benchmark-2.md>): VRP optimization-modeling; VRP Optimization-Modeling Benchmark 2.

- [VRP optimization-modeling on VRP Optimization-Modeling Benchmark 1](<https://www.sota2.com/research/sota/vrp-optimization-modeling-on-vrp-optimization-modeling-benchmark-1.md>): VRP optimization-modeling; VRP Optimization-Modeling Benchmark 1.

- [Optimization on High-dimensional Optimization Benchmark Functions (summary)](<https://www.sota2.com/research/sota/optimization-on-high-dimensional-optimization-benchmark-functions-summary.md>): Optimization; High-dimensional Optimization Benchmark Functions (summary).

- [Constrained Optimization on Synthetic constrained optimization benchmark (test)](<https://www.sota2.com/research/sota/constrained-optimization-on-synthetic-constrained-optimization-benchmark-test.md>): Constrained Optimization; Synthetic constrained optimization benchmark (test).

- [Multi-property Optimization on Multi-property Optimization](<https://www.sota2.com/research/sota/multi-property-optimization-on-multi-property-optimization.md>): Multi-property Optimization; Multi-property Optimization.

- [Decentralized Stochastic Strongly Convex Optimization](<https://www.sota2.com/research/sota/decentralized-stochastic-strongly-convex-optimization.md>): Decentralized Optimization; Decentralized Stochastic Strongly Convex Optimization.

- [Global Optimization on 32 Optimization Benchmark Problems Aggregate All dimensionalities](<https://www.sota2.com/research/sota/global-optimization-on-32-optimization-benchmark-problems-aggregate-all-dimensionalities.md>): Global Optimization; 32 Optimization Benchmark Problems Aggregate All dimensionalities.

- [Global Optimization on 32 Optimization Benchmark Problems d=1000](<https://www.sota2.com/research/sota/global-optimization-on-32-optimization-benchmark-problems-d-1000.md>): Global Optimization; 32 Optimization Benchmark Problems d=1000.

- [Global Optimization on 32 Optimization Benchmark Problems d=500](<https://www.sota2.com/research/sota/global-optimization-on-32-optimization-benchmark-problems-d-500.md>): Global Optimization; 32 Optimization Benchmark Problems d=500.

- [Global Optimization on 32 Optimization Benchmark Problems d=100](<https://www.sota2.com/research/sota/global-optimization-on-32-optimization-benchmark-problems-d-100.md>): Global Optimization; 32 Optimization Benchmark Problems d=100.

- [Topology Optimization Out-of-Distribution](<https://www.sota2.com/research/sota/topology-optimization-out-of-distribution.md>): Topology Optimization; Topology Optimization Out-of-Distribution.

- [Topology Optimization In-Distribution](<https://www.sota2.com/research/sota/topology-optimization-in-distribution.md>): Topology Optimization; Topology Optimization In-Distribution.

- [Global Optimization on 10 Optimization Benchmark Cases](<https://www.sota2.com/research/sota/global-optimization-on-10-optimization-benchmark-cases.md>): Global Optimization; 10 optimization benchmark cases 5 functions x 2 dimensions.

- [Optimization Modeling on LogiOR OptiBench (out-of-distribution)](<https://www.sota2.com/research/sota/optimization-modeling-on-logior-optibench-out-of-distribution.md>): Optimization Modeling; Optimization Modeling Datasets LogiOR OptiBench (out-of-distribution).

- [Optimization Modeling on NLP4LP, NL4OPT, IndustryOR, MAMO (test)](<https://www.sota2.com/research/sota/optimization-modeling-on-nlp4lp-nl4opt-industryor-mamo-test.md>): Optimization Modeling; Optimization Modeling Datasets NLP4LP, NL4OPT, IndustryOR, MAMO (test).

- [Multi-objective Multi-task Optimization on Sensor Coverage Optimization 30 heterogeneous tasks dimensions {6, 9, ..., 93}](<https://www.sota2.com/research/sota/multi-objective-multi-task-optimization-on-sensor-coverage-optimization-30-heterogeneous-tasks-dimensions-6-9-93.md>): Multi-objective Multi-task Optimization; Sensor Coverage Optimization 30 heterogeneous tasks dimensions {6, 9, ..., 93}.

- [Reinforcement Learning on Supply Chain Optimization Environment (test)](<https://www.sota2.com/research/sota/reinforcement-learning-on-supply-chain-optimization-environment-test.md>): Reinforcement Learning; Supply Chain Optimization Environment (test).

- [Stochastic Bilevel Optimization on Stochastic Bilevel Optimization](<https://www.sota2.com/research/sota/stochastic-bilevel-optimization-on-stochastic-bilevel-optimization.md>): Stochastic Bilevel Optimization; Stochastic Bilevel Optimization.

- [Constrained Online Convex Optimization on COCO](<https://www.sota2.com/research/sota/constrained-online-convex-optimization-on-coco.md>): Constrained Online Convex Optimization; COCO (Constrained Online Convex Optimization).

- [Global Optimization on Optimization Benchmark Problems Total](<https://www.sota2.com/research/sota/global-optimization-on-optimization-benchmark-problems-total.md>): Global Optimization; Optimization Benchmark Problems Total.

- [Global Optimization on Optimization Benchmark Problems d=1000](<https://www.sota2.com/research/sota/global-optimization-on-optimization-benchmark-problems-d-1000.md>): Global Optimization; Optimization Benchmark Problems d=1000.

- [Global Optimization on Optimization Benchmark Problems d=500](<https://www.sota2.com/research/sota/global-optimization-on-optimization-benchmark-problems-d-500.md>): Global Optimization; Optimization Benchmark Problems d=500.

- [Global Optimization on Optimization Benchmark Problems d=100](<https://www.sota2.com/research/sota/global-optimization-on-optimization-benchmark-problems-d-100.md>): Global Optimization; Optimization Benchmark Problems d=100.

- [Open-ended optimization on Kernel optimization](<https://www.sota2.com/research/sota/open-ended-optimization-on-kernel-optimization.md>): Open-ended optimization; Kernel optimization.

- [Stochastic Distributed Optimization](<https://www.sota2.com/research/sota/stochastic-distributed-optimization.md>): Stochastic Distributed Optimization; Stochastic Distributed Optimization.

- [UAV Trajectory Optimization on UAV Trajectory Optimization N300](<https://www.sota2.com/research/sota/uav-trajectory-optimization-on-uav-trajectory-optimization-n300.md>): UAV Trajectory Optimization; UAV Trajectory Optimization N300.

- [UAV Trajectory Optimization on UAV Trajectory Optimization N200](<https://www.sota2.com/research/sota/uav-trajectory-optimization-on-uav-trajectory-optimization-n200.md>): UAV Trajectory Optimization; UAV Trajectory Optimization N200.

- [UAV Trajectory Optimization on UAV Trajectory Optimization N100](<https://www.sota2.com/research/sota/uav-trajectory-optimization-on-uav-trajectory-optimization-n100.md>): UAV Trajectory Optimization; UAV Trajectory Optimization N100.

- [UAV Trajectory Optimization N50](<https://www.sota2.com/research/sota/uav-trajectory-optimization-n50.md>): UAV Trajectory Optimization; UAV Trajectory Optimization N50.

- [UAV Trajectory Optimization on UAV Trajectory Optimization n20](<https://www.sota2.com/research/sota/uav-trajectory-optimization-on-uav-trajectory-optimization-n20.md>): UAV Trajectory Optimization; UAV Trajectory Optimization n20.

- [Cascaded CTLE+DFE Optimization](<https://www.sota2.com/research/sota/cascaded-ctle-plus-dfe-optimization.md>): Cascaded CTLE+DFE Optimization; Cascaded CTLE+DFE Optimization.

- [Single Property Optimization on Single Property Optimization (test)](<https://www.sota2.com/research/sota/single-property-optimization-on-single-property-optimization-test.md>): Single Property Optimization; Single Property Optimization (test).

- [Acoustic Topology Optimization on Acoustic topology optimization frequencies 10-100 Hz range](<https://www.sota2.com/research/sota/acoustic-topology-optimization-on-acoustic-topology-optimization-frequencies-10-100-hz-range.md>): Acoustic Topology Optimization; Acoustic topology optimization frequencies 10-100 Hz range.

- [Robust regression optimization on Optimization problem and l-infinity regression 1.0 (train)](<https://www.sota2.com/research/sota/robust-regression-optimization-on-optimization-problem-and-l-infinity-regression-1-0-train.md>): Robust regression optimization; Optimization problem and l-infinity regression 1.0 (train).

- [Quadratic Portfolio Optimization on 2 Constraints, 400 Assets (test)](<https://www.sota2.com/research/sota/quadratic-portfolio-optimization-on-2-constraints-400-assets-test.md>): Quadratic portfolio optimization; Quadratic portfolio optimization 2 constraints, 400 assets (test).

- [Quadratic Portfolio Optimization on 200 Assets (2 Constraints, test)](<https://www.sota2.com/research/sota/quadratic-portfolio-optimization-on-200-assets-2-constraints-test.md>): Quadratic portfolio optimization; Quadratic portfolio optimization (2 constraints), 200 assets (test).

- [Quadratic Portfolio Optimization on Quadratic Portfolio Optimization 2 Constraints 50 Assets (test)](<https://www.sota2.com/research/sota/quadratic-portfolio-optimization-on-quadratic-portfolio-optimization-2-constraints-50-assets-test.md>): Quadratic portfolio optimization; Quadratic portfolio optimization 2 constraints 50 assets (test).

- [Distributed Optimization on Stochastic Convex Optimization (σ = O(1), N = MKR)](<https://www.sota2.com/research/sota/distributed-optimization-on-stochastic-convex-optimization-o-1-n-mkr.md>): Distributed Optimization; Stochastic Convex Optimization (σ = O(1), N = MKR).

- [Convergence Analysis on General Optimization](<https://www.sota2.com/research/sota/convergence-analysis-on-general-optimization.md>): Convergence Analysis; General Optimization.

- [Cost-aware Bayesian Optimization on CAF Continuous Optimization Benchmark](<https://www.sota2.com/research/sota/cost-aware-bayesian-optimization-on-caf-continuous-optimization-benchmark.md>): Cost-aware Bayesian Optimization; CAF Continuous Optimization Benchmark.

- [Industrial Component Optimization on Industrial Component Optimization (test)](<https://www.sota2.com/research/sota/industrial-component-optimization-on-industrial-component-optimization-test.md>): Industrial Component Optimization; Industrial Component Optimization (test).

- [Online Convex Optimization on Online Convex Optimization Theoretical](<https://www.sota2.com/research/sota/online-convex-optimization-on-online-convex-optimization-theoretical.md>): Online Convex Optimization; Online Convex Optimization Theoretical.

- [Portfolio Optimization on Financial Portfolio Optimization (80 stacks)](<https://www.sota2.com/research/sota/portfolio-optimization-on-financial-portfolio-optimization-80-stacks.md>): Portfolio Optimization; Financial Portfolio Optimization (80 stacks).

- [Portfolio Optimization on Financial Portfolio Optimization 60 stacks](<https://www.sota2.com/research/sota/portfolio-optimization-on-financial-portfolio-optimization-60-stacks.md>): Portfolio Optimization; Financial Portfolio Optimization 60 stacks.

- [Financial Portfolio Optimization (40 stacks)](<https://www.sota2.com/research/sota/financial-portfolio-optimization-40-stacks.md>): Portfolio Optimization; Financial Portfolio Optimization (40 stacks).

- [Portfolio Optimization on Financial Portfolio Optimization 20 stacks](<https://www.sota2.com/research/sota/portfolio-optimization-on-financial-portfolio-optimization-20-stacks.md>): Portfolio Optimization; Financial Portfolio Optimization 20 stacks.

- [BlackBox Optimization](<https://www.sota2.com/research/sota/blackbox-optimization.md>): BlackBox Optimization; BlackBox Optimization.

- [Molecular Property Optimization on Unconstrained Molecular Optimization ACAA1 Docking](<https://www.sota2.com/research/sota/molecular-property-optimization-on-unconstrained-molecular-optimization-acaa1-docking.md>): Molecular Property Optimization; Unconstrained Molecular Optimization ACAA1 Docking.

- [Molecular Property Optimization on Unconstrained Molecular Optimization ESR1 Docking](<https://www.sota2.com/research/sota/molecular-property-optimization-on-unconstrained-molecular-optimization-esr1-docking.md>): Molecular Property Optimization; Unconstrained Molecular Optimization ESR1 Docking.

- [Molecular Property Optimization on Unconstrained Molecular Optimization QED](<https://www.sota2.com/research/sota/molecular-property-optimization-on-unconstrained-molecular-optimization-qed.md>): Molecular Property Optimization; Unconstrained Molecular Optimization QED.

- [Molecular Property Optimization on Unconstrained Molecular Optimization plogP](<https://www.sota2.com/research/sota/molecular-property-optimization-on-unconstrained-molecular-optimization-plogp.md>): Molecular Property Optimization; Unconstrained Molecular Optimization plogP.

- [LogP optimization with similarity preservation on Molecular logP optimization dataset](<https://www.sota2.com/research/sota/logp-optimization-with-similarity-preservation-on-molecular-logp-optimization-dataset.md>): logP optimization with similarity preservation; Molecular logP optimization dataset.

- [Text Optimization on Text Optimization Tasks Aggregate](<https://www.sota2.com/research/sota/text-optimization-on-text-optimization-tasks-aggregate.md>): Text Optimization; Text Optimization Tasks Aggregate.