Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseОткрытый API экосистемы
← Назад к работе

Работы, цитирующие эту работу

Работ: 12

Работа: A fast and elitist multiobjective genetic algorithm: NSGA-II

  1. Exploring <scp>ML</scp> ‐Driven Insights on the Impact of Rising Soil Salinity on Sundarbans Mangrove Ecosystems and Ecological Sustainability Through Nature‐Based Solutions

    Ismail Mondal, SK Ariful Hossain, Anirjita Das +3

    СтатьяCoastal wetland ecosystem dynamicsLand Degradation and Development2025Цитирований: 3
    ABI

  2. Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms

    Pietro Barbiero, Giovanni Squillero, Alberto Tonda

    ПрепринтMachine Learning and Data ClassificationarXiv (Cornell University)2020Цитирований: 0
    ABI

  3. Algorithms for use of modeling methods in selection process of hydrotechnical construction project

    Dilarom Kuchkarova, Bakhtiyor Ismatov, Shakhnoza Radjabova

    СтатьяAdvanced Theoretical and Applied Studies in Material Sciences and GeometryE3S Web of Conferences2023Цитирований: 0
    ABI

  4. Optimizing the thermostat setting points of residential and insulated buildings in the direction of economic efficiency and thermal comfort through advanced multi-purpose techniques

    Peng He, Ali B.M. Ali, Zahraa Abed Hussein +6

    СтатьяBuilding Energy and Comfort OptimizationEnergy and Buildings2025Цитирований: 0
    ABI

  5. Prediction of the thermophysical properties of Ag-reduced graphene oxide-water/ethylene-glycol hybrid nanofluids using different machine learning methods

    Huaguang Li, Ali B.M. Ali, Rasha Abed Hussein +6

    СтатьяNanofluid Flow and Heat TransferCase Studies in Thermal Engineering2025Цитирований: 0
    ABI

  6. Using evolutionary algorithms and group method of data handling ANN for prediction of the viscosity MWCNT-ZnO /oil SAE 50 nano-lubricant

    Zuozhi Liu, Ali B.M. Ali, Rasha Abed Hussein +6

    СтатьяLubricants and Their AdditivesInternational Communications in Heat and Mass Transfer2025Цитирований: 0
    ABI

  7. Multi-aspect assessment and artificial intelligence-based optimization of a sustainable solar-to-power/hydrogen process using three-state numerical simulation and thermal energy storage

    Xuan Yang, Zhiqing Bai, Sarminah Samad +7

    СтатьяThermodynamic and Exergetic Analyses of Power and Cooling SystemsEnergy2025Цитирований: 0
    ABI

  8. Multi-Objective Optimization of Rein-Forced Concrete Buildings using NSGA-II

    Ashish Kumar, Muzaffar Shojonov, Deepesh Kumar +3

    СтатьяBIM and Construction Integration2025Цитирований: 0
    ABI

  9. Intelligent design of lithium-ion battery thermal management systems for electric vehicles: Integration of gene expression programming modeling and multi-objective atomic orbital search optimization

    Hangxin Liu, Ahmad Alkhayyat, Normurot Fayzullaev +7

    СтатьяAdvanced Battery Technologies ResearchJournal of Power Sources2026Цитирований: 0
    ABI

  10. Hybrid Artificial Intelligence-based Computational Fluid Dynamics model for optimizing Offshore Wind Farm aerodynamics under variable marine climate conditions

    Hayder M. Ali, Rachel Nallathamby, Saravanan Ramaiah +5

    СтатьяWind Energy Research and DevelopmentClean Energy Science and Technology2026Цитирований: 0
    ABI

  11. GRUNT O‘ZANLI KANALLARNI REKONSTRUKSIYALASHNING NSGA-II ALGORITMI YORDAMIDA KO‘P MAQSADLI OPTIMALLASHTIRISH MODELI

    Alisher Normurodovich Xazratov, Feruz Choriyevich Sobirov

    СтатьяEngineering and Agricultural InnovationsSanoatda raqamli texnologiyalar.2026Цитирований: 0
    ABI

  12. Data-Driven Multi-Objective Optimization of 10/0.4 kV Distribution Transformer Placement in Urban Power Networks

    Mirkomil Melikuziev, Abdurakhim Taslimov, Alibek Batyrbek +4

    СтатьяOptimal Power Flow DistributionEng—Advances in Engineering2026Цитирований: 0
    ABI