Greenhouse Effect Evaluation: Giga Chat Optimization Algorithm (GCOA)

Authors

  • Alexey Mikhaylov

    Financial Faculty, Financial University under the Government of the Russian Federation, Moscow 125167, Russia

    Department of Science, Baku Eurasian University, Baku AZ 1073, Azerbaijan
  • Sergey Barykin

    Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, St. Petersburg 195251, Russia
  • Daria Dinets

    Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, St. Petersburg 195251, Russia
  • Olga Voronova

    Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, St. Petersburg 195251, Russia
  • Vladimir Shchepinin

    Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, St. Petersburg 195251, Russia
  • Arkady Evgrafov

    Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, St. Petersburg 195251, Russia
  • Alexey Shmatko

    Department of Organization Management, Baltic State Technical University «VOENMEH» named after D.F. Ustinov, St. Petersburg 195251, Russia
  • Liubov Shamina

    Department of Organization Management, Baltic State Technical University «VOENMEH» named after D.F. Ustinov, St. Petersburg 195251, Russia
  • Timur Ezirbaev

    Department of Applied Geophysics and Geoinformatics, Grozny State Oil Technical University named after Academician M.D. Millionshchikov, Grozny 364051, Russia
  • Tomonobu Senjyu

    Department of Electrical and Electronics Engineering, Faculty of Engineering, University of the Ryukyus, Okinawa 903-0213, Japan
  • Ahmad Shah Irshad

    Department of Electrical and Electronics Engineering, Faculty of Engineering, University of the Ryukyus, Okinawa 903-0213, Japan

    Department of Energy Engineering, Engineering Faculty, Kandahar University, Kandahar 3801, Afghanistan
  • N. B. A. Yousif

    Department of Sociology, College of Humanities and Science, Ajman University, Ajman P.O. Box 346, United Arab Emirates

    Humanities and Social Sciences Research Centre (HSSRC), Ajman University, Ajman P.O. Box 346, United Arab Emirates

DOI:

https://doi.org/10.30564/re.v8i1.12372
Received: 9 October 2025 | Revised: 9 December 2025 | Accepted: 16 December 2025 | Published Online: 29 December 2025

Abstract

The algorithm is designed to solve the global problem of multi-objective optimization with constraints in the context of greenhouse gas assessment and mitigation. Artificial intelligence provides unique opportunities for analyzing large amounts of data and identifying hidden relationships between various factors affecting emissions. The use of AI makes it possible to develop effective emission reduction strategies, predict the consequences of various scenarios, and evaluate the effectiveness of decisions made. Machine learning algorithms are capable of modeling complex systems such as energy infrastructure, transportation, and industry to determine the best ways to minimize emissions. The greenhouse effect and related climate change pose one of the most serious threats to our future. Innovative approaches and modern technologies are needed to effectively combat these problems. Government intelligence, in particular, Giga Chat, offers a variety of services for analysts, forecasting, and user support. Their use can significantly accelerate the transition to sustainable development and achieve the goals of the Paris Agreement to limit global temperature growth to 1.5 ℃. However, realizing the potential of AI requires careful preparation and consideration of many factors, including data quality, ethics, and technical aspects. Only through the joint efforts of scientists, politicians, and society will we be able to overcome the challenge of climate change and build a future that is safe for future generations.

Keywords:

Greenhouse Effect; Ecosystem Sustainability; Biological Diversity; Environmental Disasters; Air and Water Pollution; AI; Giga Chat

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How to Cite

Mikhaylov, A., Barykin, S., Dinets, D., Voronova, O., Shchepinin, V., Evgrafov, A., Shmatko, A., Shamina, L., Ezirbaev, T., Senjyu, T., Irshad, A. S., & Yousif, N. B. A. (2025). Greenhouse Effect Evaluation: Giga Chat Optimization Algorithm (GCOA). Research in Ecology, 8(1), 20–39. https://doi.org/10.30564/re.v8i1.12372

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Vol.8, Iss.1 (February 2026)(in progress)

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Article (This article belongs to the Special Issue "Innovative application of AI and machine learning in solving ecological problems")

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Copyright © 2025 Alexey Mikhaylov, Sergey Barykin, Daria Dinets, Olga Voronova, Vladimir Shchepinin, Arkady Evgrafov, Alexey Shmatko, Liubov Shamina, Timur Ezirbaev, Tomonobu Senjyu, Ahmad Shah Irshad, N. B. A. Yousif

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This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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