Greenhouse Effect Evaluation: Giga Chat Optimization Algorithm (GCOA)

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.