{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/method/ga/papers/2","list_of":"/method/ga","method":"GA","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":2,"pages_in_order":3,"rows_per_page":100,"rows":[101,200],"of":259,"counts":{"archive_papers_tagged":259,"with_a_code_link":60,"where_syntology_ran_a_sample":6,"not_listed_spam_title":0,"listed":259,"listed_where_code_ran":6,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":5,"every_run_a_failure_of_syntologys_instrument":1,"listed_with_a_run_with_no_instrument_failure":5,"listed_every_run_a_failure_of_syntologys_instrument":1,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/method/ga","prev":"/method/ga","next":"/method/ga/papers/3","papers":[{"paper":"/paper/decoding-nature-with-nature-s-tools-heterotic","slug":"decoding-nature-with-nature-s-tools-heterotic","title":"Decoding Nature with Nature's Tools: Heterotic Line Bundle Models of Particle Physics with Genetic Algorithms and Quantum Annealing","date":"2023-06-05","arxiv_id":"2306.03147","n_code_links":2,"syntology":null},{"paper":null,"slug":"breeding-machine-translations-evolutionary","title":"Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation","date":"2023-05-30","arxiv_id":"2305.19330","n_code_links":0,"syntology":null},{"paper":"/paper/accelerating-genetic-optimization-of","slug":"accelerating-genetic-optimization-of","title":"Accelerating genetic optimization of nonlinear model predictive control by learning optimal search space size","date":"2023-05-14","arxiv_id":"2305.08094","n_code_links":1,"syntology":null},{"paper":"/paper/expressive-mortality-models-through-gaussian","slug":"expressive-mortality-models-through-gaussian","title":"Expressive Mortality Models through Gaussian Process Kernels","date":"2023-05-02","arxiv_id":"2305.01728","n_code_links":1,"syntology":null},{"paper":null,"slug":"the-fairy-tale-of-genetic-algorithms","title":"The FAIRy Tale of Genetic Algorithms","date":"2023-04-29","arxiv_id":"2305.00238","n_code_links":0,"syntology":null},{"paper":null,"slug":"genetic-algorithm-based-proportional-integral","title":"Genetic-Algorithm-Based Proportional Integral Controller (GAPI) for ROV Steering Control","date":"2023-04-20","arxiv_id":"2304.10137","n_code_links":0,"syntology":null},{"paper":null,"slug":"genetic-algorithm-based-combinatorial","title":"Genetic Algorithm Based Combinatorial Optimization for the Optimal Design of Water Distribution Network of Gurudeniya Service Zone, Sri Lanka","date":"2023-04-19","arxiv_id":"2304.09720","n_code_links":0,"syntology":null},{"paper":null,"slug":"autosparse-towards-automated-sparse-training","title":"AUTOSPARSE: Towards Automated Sparse Training of Deep Neural Networks","date":"2023-04-14","arxiv_id":"2304.06941","n_code_links":0,"syntology":null},{"paper":null,"slug":"gaussian-anamorphosis-for-ensemble-kalman","title":"Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations","date":"2023-04-03","arxiv_id":"2304.01058","n_code_links":0,"syntology":null},{"paper":null,"slug":"spardl-distributed-deep-learning-training","title":"SparDL: Distributed Deep Learning Training with Efficient Sparse Communication","date":"2023-04-03","arxiv_id":"2304.00737","n_code_links":0,"syntology":null},{"paper":null,"slug":"leo-lagrange-elementary-optimization","title":"Leo: Lagrange Elementary Optimization","date":"2023-04-01","arxiv_id":"2304.05346","n_code_links":0,"syntology":null},{"paper":"/paper/using-a-variational-autoencoder-to-learn","slug":"using-a-variational-autoencoder-to-learn","title":"Using a Variational Autoencoder to Learn Valid Search Spaces of Safely Monitored Autonomous Robots for Last-Mile Delivery","date":"2023-03-06","arxiv_id":"2303.03211","n_code_links":1,"syntology":null},{"paper":null,"slug":"lasting-diversity-and-superior-runtime","title":"Lasting Diversity and Superior Runtime Guarantees for the $(μ+1)$ Genetic Algorithm","date":"2023-02-24","arxiv_id":"2302.12570","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-artificial-life-simulation-library-based","title":"An Artificial Life Simulation Library Based on Genetic Algorithm, 3-Character Genetic Code and Biological Hierarchy","date":"2023-02-19","arxiv_id":"2304.13520","n_code_links":0,"syntology":null},{"paper":null,"slug":"satellite-anomaly-detection-using-variance","title":"Satellite Anomaly Detection Using Variance Based Genetic Ensemble of Neural Networks","date":"2023-02-10","arxiv_id":"2302.05525","n_code_links":0,"syntology":null},{"paper":null,"slug":"incorporating-background-knowledge-in","title":"Incorporating Background Knowledge in Symbolic Regression using a Computer Algebra System","date":"2023-01-27","arxiv_id":"2301.11919","n_code_links":0,"syntology":null},{"paper":null,"slug":"ga-aided-directivity-in-volumetric-and-planar","title":"GA-Aided Directivity in Volumetric and Planar Massive-Antenna Array Design","date":"2023-01-07","arxiv_id":"2301.02940","n_code_links":0,"syntology":null},{"paper":"/paper/federated-domain-generalization-with","slug":"federated-domain-generalization-with","title":"Federated Domain Generalization With Generalization Adjustment","date":"2023-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"computational-co-design-for-variable-geometry","title":"Computational Co-Design for Variable Geometry Truss","date":"2022-11-26","arxiv_id":"2211.14663","n_code_links":0,"syntology":null},{"paper":"/paper/the-ga-cal-software-for-the-automatic","slug":"the-ga-cal-software-for-the-automatic","title":"The GA-cal software for the automatic calibration of soil constitutive laws: a tutorial and a user manual","date":"2022-11-24","arxiv_id":"2211.13652","n_code_links":1,"syntology":null},{"paper":null,"slug":"pippi2021-an-approach-to-automated-diagnosis","title":"PIPPI2021: An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver & Placenta in Fetal Growth Restriction","date":"2022-11-01","arxiv_id":"2211.02639","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploring-the-effectiveness-of-surrogate","title":"Exploring the effectiveness of surrogate-assisted evolutionary algorithms on the batch processing problem","date":"2022-10-31","arxiv_id":"2210.17149","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-ga-like-dynamic-probability-method-with","title":"A GA-like Dynamic Probability Method With Mutual Information for Feature Selection","date":"2022-10-21","arxiv_id":"2210.11954","n_code_links":0,"syntology":null},{"paper":null,"slug":"two-timescale-transmission-design-for-ris","title":"Two-Timescale Transmission Design for RIS-Aided Cell-Free Massive MIMO Systems","date":"2022-10-16","arxiv_id":"2210.08514","n_code_links":0,"syntology":null},{"paper":"/paper/the-surprisingly-straightforward-scene-text","slug":"the-surprisingly-straightforward-scene-text","title":"The Surprisingly Straightforward Scene Text Removal Method With Gated Attention and Region of Interest Generation: A Comprehensive Prominent Model Analysis","date":"2022-10-14","arxiv_id":"2210.07489","n_code_links":1,"syntology":{"ran":4,"of":6,"n_ran_checked":4,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["naver/garnet"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"effective-metaheuristic-based-classifiers-for","title":"Effective Metaheuristic Based Classifiers for Multiclass Intrusion Detection","date":"2022-10-06","arxiv_id":"2210.02678","n_code_links":0,"syntology":null},{"paper":"/paper/an-efficient-encoder-decoder-architecture","slug":"an-efficient-encoder-decoder-architecture","title":"An efficient encoder-decoder architecture with top-down attention for speech separation","date":"2022-09-30","arxiv_id":"2209.15200","n_code_links":1,"syntology":{"ran":13,"of":18,"n_ran_checked":9,"n_instrument":4,"unverified":5,"pointer_only":0,"phrase":"13 ran (of which 8 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 4 where Syntology's instrument failed) · 5 unverified","official":{"repos":["JusperLee/TDANet"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":8,"n_ran_no_instrument_failure":9,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"accelerating-the-genetic-algorithm-for-large","title":"Accelerating the Genetic Algorithm for Large-scale Traveling Salesman Problems by Cooperative Coevolutionary Pointer Network with Reinforcement Learning","date":"2022-09-27","arxiv_id":"2209.13077","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-genetic-quantum-annealing-algorithm","title":"A Genetic Quantum Annealing Algorithm","date":"2022-09-15","arxiv_id":"2209.07455","n_code_links":0,"syntology":null},{"paper":"/paper/granger-causal-chain-discovery-for-sepsis","slug":"granger-causal-chain-discovery-for-sepsis","title":"Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes","date":"2022-09-09","arxiv_id":"2209.04480","n_code_links":1,"syntology":null},{"paper":"/paper/location-routing-planning-for-last-mile","slug":"location-routing-planning-for-last-mile","title":"Route Planning for Last-Mile Deliveries Using Mobile Parcel Lockers: A Hybrid Q-Learning Network Approach","date":"2022-09-09","arxiv_id":"2209.04265","n_code_links":2,"syntology":null},{"paper":"/paper/adaptive-combination-of-a-genetic-algorithm","slug":"adaptive-combination-of-a-genetic-algorithm","title":"Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution","date":"2022-09-08","arxiv_id":"2209.03618","n_code_links":1,"syntology":null},{"paper":null,"slug":"automated-recognition-of-the-pericardium","title":"Automated recognition of the pericardium contour on processed CT images using genetic algorithms","date":"2022-08-30","arxiv_id":"2208.14375","n_code_links":0,"syntology":null},{"paper":"/paper/safari-versatile-and-efficient-evaluations","slug":"safari-versatile-and-efficient-evaluations","title":"SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability","date":"2022-08-19","arxiv_id":"2208.09418","n_code_links":1,"syntology":null},{"paper":null,"slug":"discovering-novel-systemic-biomarkers-in","title":"Discovering novel systemic biomarkers in photos of the external eye","date":"2022-07-19","arxiv_id":"2207.08998","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-two-stage-bayesian-optimisation-for","title":"A Two-Stage Bayesian Optimisation for Automatic Tuning of an Unscented Kalman Filter for Vehicle Sideslip Angle Estimation","date":"2022-06-30","arxiv_id":"2206.15115","n_code_links":0,"syntology":null},{"paper":null,"slug":"mkiou-loss-towards-accurate-oriented-object","title":"MKIoU Loss: Towards Accurate Oriented Object Detection in Aerial Images","date":"2022-06-30","arxiv_id":"2206.15109","n_code_links":0,"syntology":null},{"paper":null,"slug":"the-influence-of-local-search-over-genetic","title":"The Influence of Local Search over Genetic Algorithms with Balanced Representations","date":"2022-06-22","arxiv_id":"2206.10974","n_code_links":0,"syntology":null},{"paper":null,"slug":"fast-computation-of-highly-g-optimal-exact","title":"Fast Computation of Highly G-optimal Exact Designs via Particle Swarm Optimization","date":"2022-06-13","arxiv_id":"2206.06498","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-explainable-metaheuristic-mining","title":"Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for Importance of Variables","date":"2022-05-31","arxiv_id":"2206.14135","n_code_links":0,"syntology":null},{"paper":null,"slug":"biological-evolution-and-genetic-algorithms","title":"Biological Evolution and Genetic Algorithms: Exploring the Space of Abstract Tile Self-Assembly","date":"2022-05-28","arxiv_id":"2205.15311","n_code_links":0,"syntology":null},{"paper":null,"slug":"evolution-as-a-service-a-privacy-preserving","title":"Evolution as a Service: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization","date":"2022-05-27","arxiv_id":"2205.13948","n_code_links":0,"syntology":null},{"paper":null,"slug":"comparing-the-digital-annealer-with-classical","title":"Comparing the Digital Annealer with Classical Evolutionary Algorithm","date":"2022-05-26","arxiv_id":"2205.13586","n_code_links":0,"syntology":null},{"paper":"/paper/explanation-guided-fairness-testing-through","slug":"explanation-guided-fairness-testing-through","title":"Explanation-Guided Fairness Testing through Genetic Algorithm","date":"2022-05-16","arxiv_id":"2205.08335","n_code_links":1,"syntology":null},{"paper":"/paper/high-performance-evolutionary-algorithms-for","slug":"high-performance-evolutionary-algorithms-for","title":"High-performance Evolutionary Algorithms for Online Neuron Control","date":"2022-04-14","arxiv_id":"2204.06765","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":1,"n_instrument":3,"unverified":0,"pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["animadversio/actmax-optimizer-dev"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"a-reinforcement-learning-approach-for-6","title":"A Reinforcement Learning Approach for Electric Vehicle Routing Problem with Vehicle-to-Grid Supply","date":"2022-04-12","arxiv_id":"2204.05545","n_code_links":0,"syntology":null},{"paper":null,"slug":"mof-a-modular-framework-for-rapid-application","title":"MOF: A Modular Framework for Rapid Application of Optimization Methodologies to General Engineering Design Problems","date":"2022-04-01","arxiv_id":"2204.00141","n_code_links":0,"syntology":null},{"paper":null,"slug":"enabling-faster-and-more-reliable-sonographic","title":"Enabling faster and more reliable sonographic assessment of gestational age through machine learning","date":"2022-03-22","arxiv_id":"2203.11903","n_code_links":0,"syntology":null},{"paper":null,"slug":"ai-system-for-fetal-ultrasound-in-low","title":"AI system for fetal ultrasound in low-resource settings","date":"2022-03-18","arxiv_id":"2203.10139","n_code_links":0,"syntology":null},{"paper":null,"slug":"dgaff-deep-genetic-algorithm-fitness","title":"DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection","date":"2022-02-21","arxiv_id":"2202.10034","n_code_links":0,"syntology":null},{"paper":null,"slug":"evolutionary-construction-of-perfectly","title":"Evolutionary Construction of Perfectly Balanced Boolean Functions","date":"2022-02-16","arxiv_id":"2202.08221","n_code_links":0,"syntology":null},{"paper":"/paper/multi-atlas-segmentation-and-spatial","slug":"multi-atlas-segmentation-and-spatial","title":"Multi-Atlas Segmentation and Spatial Alignment of the Human Embryo in First Trimester 3D Ultrasound","date":"2022-02-14","arxiv_id":"2202.06599","n_code_links":1,"syntology":null},{"paper":"/paper/coil-constrained-optimization-in-learned","slug":"coil-constrained-optimization-in-learned","title":"COIL: Constrained Optimization in Learned Latent Space: Learning Representations for Valid Solutions","date":"2022-02-04","arxiv_id":"2202.02163","n_code_links":1,"syntology":null},{"paper":"/paper/flipping-the-switch-on-local-exploration","slug":"flipping-the-switch-on-local-exploration","title":"Flipping the switch on local exploration: Genetic Algorithms with Reversals","date":"2022-02-02","arxiv_id":"2202.00912","n_code_links":1,"syntology":null},{"paper":null,"slug":"qos-sla-aware-artificial-intelligence","title":"QoS-SLA-Aware Adaptive Genetic Algorithm for Multi-Request Offloading in Integrated Edge-Cloud Computing in Internet of Vehicles","date":"2022-01-21","arxiv_id":"2202.01696","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-learning-based-quality-assessment-of","title":"Deep Learning-based Quality Assessment of Clinical Protocol Adherence in Fetal Ultrasound Dating Scans","date":"2022-01-17","arxiv_id":"2201.06406","n_code_links":0,"syntology":null},{"paper":null,"slug":"evaluating-muscle-synergies-with-emg-data-and","title":"Evaluating Muscle Synergies with EMG Data and Physics Simulation in the Neurorobotics Platform","date":"2022-01-14","arxiv_id":"2201.05496","n_code_links":0,"syntology":null},{"paper":null,"slug":"list-autoencoder-towards-deep-learning-based","title":"List Autoencoder: Towards Deep Learning Based Reliable Transmission Over Noisy Channels","date":"2021-12-19","arxiv_id":"2112.11920","n_code_links":0,"syntology":null},{"paper":null,"slug":"frequency-fitness-assignment-optimization","title":"Frequency Fitness Assignment: Optimization without Bias for Good Solutions can be Efficient","date":"2021-12-01","arxiv_id":"2112.00229","n_code_links":0,"syntology":null},{"paper":null,"slug":"high-speed-light-focusing-through-scattering","title":"High-Speed Light Focusing through Scattering Medium by Cooperatively Accelerated Genetic Algorithm","date":"2021-11-29","arxiv_id":"2111.14916","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-learning-based-fast-solver-of-the","title":"Deep learning-based fast solver of the shallow water equations","date":"2021-11-23","arxiv_id":"2111.11702","n_code_links":0,"syntology":null},{"paper":"/paper/variational-encoder-geostatistical-analysis","slug":"variational-encoder-geostatistical-analysis","title":"Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry","date":"2021-11-23","arxiv_id":"2111.11719","n_code_links":1,"syntology":null},{"paper":"/paper/surrogate-assisted-genetic-algorithm-for","slug":"surrogate-assisted-genetic-algorithm-for","title":"Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection","date":"2021-11-17","arxiv_id":"2111.09074","n_code_links":1,"syntology":null},{"paper":null,"slug":"optimal-load-scheduling-using-genetic","title":"Optimal Load Scheduling Using Genetic Algorithm to Improve the Load Profile","date":"2021-10-14","arxiv_id":"2111.14634","n_code_links":0,"syntology":null},{"paper":null,"slug":"parameter-tuning-strategies-for-metaheuristic","title":"Parameter Tuning Strategies for Metaheuristic Methods Applied to Discrete Optimization of Structural Design","date":"2021-10-12","arxiv_id":"2110.06186","n_code_links":0,"syntology":null},{"paper":null,"slug":"fetal-oxygen-delivery-and-consumption-and","title":"Fetal oxygen delivery and consumption and blood gases in relation to gestational age","date":"2021-09-23","arxiv_id":"2109.11616","n_code_links":0,"syntology":null},{"paper":"/paper/kohtd-kazakh-offline-handwritten-text-dataset","slug":"kohtd-kazakh-offline-handwritten-text-dataset","title":"KOHTD: Kazakh Offline Handwritten Text Dataset","date":"2021-09-22","arxiv_id":"2110.04075","n_code_links":1,"syntology":null},{"paper":null,"slug":"citizen-centric-optimal-electric-vehicle","title":"Citizen centric optimal electric vehicle charging stations locations in a full city: case of Malaga","date":"2021-09-10","arxiv_id":"2109.04975","n_code_links":0,"syntology":null},{"paper":"/paper/discriminative-semantic-feature-pyramid","slug":"discriminative-semantic-feature-pyramid","title":"Discriminative Semantic Feature Pyramid Network with Guided Anchoring for Logo Detection","date":"2021-08-31","arxiv_id":"2108.13775","n_code_links":1,"syntology":null},{"paper":null,"slug":"chaotic-fitness-dependent-optimizer-for","title":"Chaotic Fitness Dependent Optimizer for Planning and Engineering Design","date":"2021-08-21","arxiv_id":"2110.08067","n_code_links":0,"syntology":null},{"paper":null,"slug":"packetized-energy-management-controller-for","title":"Packetized Energy Management Controller for Residential Consumers","date":"2021-08-19","arxiv_id":"2108.08535","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-unified-framework-for-cross-domain-and","title":"A Unified Framework for Cross-Domain and Cross-System Recommendations","date":"2021-08-18","arxiv_id":"2108.07976","n_code_links":0,"syntology":null},{"paper":null,"slug":"throughput-maximization-of-an-irs-assisted","title":"Throughput maximization of an IRS-assisted wireless powered network with interference: A deep unsupervised learning approach","date":"2021-08-05","arxiv_id":"2108.02478","n_code_links":0,"syntology":null},{"paper":null,"slug":"otimizacao-de-redes-neurais-atraves-de","title":"Otimizacao de Redes Neurais atraves de Algoritmos Geneticos Celulares","date":"2021-07-18","arxiv_id":"2107.08326","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-hybrid-genetic-fuzzy-controller-for-a-14","title":"A Hybrid Genetic-Fuzzy Controller for a 14-inches Astronomical Telescope Tracking","date":"2021-06-22","arxiv_id":"2106.12075","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-case-study-using-genetic-algorithm-for-job","title":"A Case Study: Using Genetic Algorithm for Job Scheduling Problem","date":"2021-06-09","arxiv_id":"2106.04854","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-framework-for-discovering-optimal-solutions","title":"A Framework for Discovering Optimal Solutions in Photonic Inverse Design","date":"2021-06-03","arxiv_id":"2106.08419","n_code_links":0,"syntology":null},{"paper":"/paper/evolutionary-algorithms-for-designing","slug":"evolutionary-algorithms-for-designing","title":"Evolutionary Algorithms for Designing Reversible Cellular Automata","date":"2021-05-25","arxiv_id":"2105.12039","n_code_links":1,"syntology":null},{"paper":"/paper/multi-objective-optimisation-of-cortical","slug":"multi-objective-optimisation-of-cortical","title":"Multi-Objective Optimisation of Cortical Spiking Neural Networks With Genetic Algorithms","date":"2021-05-14","arxiv_id":"2105.06824","n_code_links":1,"syntology":null},{"paper":null,"slug":"genetic-algorithms-for-extractive","title":"Genetic Algorithms For Extractive Summarization","date":"2021-05-05","arxiv_id":"2105.02365","n_code_links":0,"syntology":null},{"paper":null,"slug":"ovarian-cancer-detection-based-on","title":"Ovarian Cancer Detection based on Dimensionality Reduction Techniques and Genetic Algorithm","date":"2021-05-04","arxiv_id":"2105.01748","n_code_links":0,"syntology":null},{"paper":null,"slug":"constructing-a-personalized-learning-path","title":"Constructing a personalized learning path using genetic algorithms approach","date":"2021-04-22","arxiv_id":"2104.11276","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-rank-based-adaptive-mutation-in-genetic","title":"A Rank based Adaptive Mutation in Genetic Algorithm","date":"2021-04-18","arxiv_id":"2104.08842","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficient-screening-of-diseased-eyes-based-on","title":"Efficient Screening of Diseased Eyes based on Fundus Autofluorescence Images using Support Vector Machine","date":"2021-04-17","arxiv_id":"2104.08519","n_code_links":0,"syntology":null},{"paper":"/paper/population-network-structure-impacts-genetic","slug":"population-network-structure-impacts-genetic","title":"Population network structure impacts genetic algorithm optimisation performance","date":"2021-04-09","arxiv_id":"2104.04254","n_code_links":1,"syntology":null},{"paper":null,"slug":"hybrid-evolutionary-optimization-approach-for","title":"Hybrid Evolutionary Optimization Approach for Oilfield Well Control Optimization","date":"2021-03-29","arxiv_id":"2103.15608","n_code_links":0,"syntology":null},{"paper":"/paper/emergence-of-more-contagious-covid-19","slug":"emergence-of-more-contagious-covid-19","title":"Emergence of more contagious COVID-19 variants from the coevolution of viruses and policy interventions","date":"2021-03-26","arxiv_id":"2103.14366","n_code_links":1,"syntology":null},{"paper":"/paper/parallel-model-exploration-for-tumor","slug":"parallel-model-exploration-for-tumor","title":"Parallel Model Exploration for Tumor Treatment Simulations","date":"2021-03-25","arxiv_id":"2103.14132","n_code_links":1,"syntology":null},{"paper":null,"slug":"the-response-of-pre-osteoblasts-and","title":"The response of pre-osteoblasts and osteoclasts to gallium containing mesoporous bioactive glasses","date":"2021-03-21","arxiv_id":"2103.11457","n_code_links":0,"syntology":null},{"paper":null,"slug":"ga-for-feature-selection-of-eeg-heterogeneous","title":"Genetic algorithm for feature selection of EEG heterogeneous data","date":"2021-03-12","arxiv_id":"2103.07117","n_code_links":0,"syntology":null},{"paper":null,"slug":"boosted-genetic-algorithm-using-machine","title":"Boosted Genetic Algorithm using Machine Learning for traffic control optimization","date":"2021-03-11","arxiv_id":"2103.08317","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-genetic-algorithm-with-tree-structured","title":"A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks","date":"2021-02-24","arxiv_id":"2102.11995","n_code_links":0,"syntology":null},{"paper":"/paper/a-memory-optimized-data-structure-for-binary","slug":"a-memory-optimized-data-structure-for-binary","title":"A Memory Optimized Data Structure for Binary Chromosomes in Genetic Algorithm","date":"2021-02-24","arxiv_id":"2103.04751","n_code_links":1,"syntology":null},{"paper":"/paper/modelling-sars-cov-2-coevolution-with-genetic","slug":"modelling-sars-cov-2-coevolution-with-genetic","title":"Modelling SARS-CoV-2 coevolution with genetic algorithms","date":"2021-02-24","arxiv_id":"2102.12365","n_code_links":1,"syntology":null},{"paper":"/paper/augmenting-high-dimensional-nonlinear","slug":"augmenting-high-dimensional-nonlinear","title":"Augmenting High-dimensional Nonlinear Optimization with Conditional GANs","date":"2021-02-20","arxiv_id":"2103.04748","n_code_links":1,"syntology":null},{"paper":null,"slug":"an-implementation-of-vector-quantization","title":"An Implementation of Vector Quantization using the Genetic Algorithm Approach","date":"2021-02-16","arxiv_id":"2102.08893","n_code_links":0,"syntology":null},{"paper":null,"slug":"nature-inspired-optimization-algorithms-1","title":"Nature-Inspired Optimization Algorithms: Research Direction and Survey","date":"2021-02-08","arxiv_id":"2102.04013","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-reproducibility-study-of-augmenting-genetic","title":"A reproducibility study of \"Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space\"","date":"2021-02-01","arxiv_id":"2102.00700","n_code_links":0,"syntology":null},{"paper":null,"slug":"urban-change-detection-by-fully-convolutional","title":"Urban Change Detection by Fully Convolutional Siamese Concatenate Network with Attention","date":"2021-01-31","arxiv_id":"2102.00501","n_code_links":0,"syntology":null},{"paper":null,"slug":"indoor-group-activity-recognition-using-multi","title":"Indoor Group Activity Recognition using Multi-Layered HMMs","date":"2021-01-23","arxiv_id":"2101.10857","n_code_links":0,"syntology":null}],"record_sha256":"f542f77a691249c7f40de3ba2a87668897422a0ec6999f9a8c7026afbdfa820f","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}