aspg-3-2625-1791419606 20261008003326 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Fusion: Practice and Applications FPA 2770-0070 2692-4048 2024 15 2 Murooj Khalid I. Ibraheem Department of Multimedia Technologies and Telecommunications, Phystech-School of Radio Engineering and Computer Technologies (FRKT), Moscow Institute of Physics and Technology (MIPT), Dolgopr Alexander V. Dvorkovich Department of Multimedia Technologies and Telecommunications, Phystech-School of Radio Engineering and Computer Technologies (FRKT), Moscow Institute of Physics and Technology (MIPT), Dolgopr The growing need for high-definition video material requires improvements in video encoding systems that maximize encoding performance while simultaneously improving compression efficiency. This paper presents a novel genetic algorithm-based intra-coding optimization method for the H.266/Versatile Video Coding (VVC) standard. One of the biggest problems in video compression is finding the ideal balance between encoding speed and video quality, which is what our approach aims to solve. Our suggested method makes use of the strong search capabilities of the evolutionary algorithm to choose the best Multi-Type Tree (MTT) partitions and coding tools from the wide range of possibilities present in H.266/VVC. The wellness assessment work that guides this choice method combines criteria for perceptual appraisal of video quality and measures for coding productivity appraisal. 2024 08 16 2625 https://creativecommons.org/licenses/by/4.0/ 10.54216/FPA.150201 https://www.americaspg.com/journal/3/article/2625 https://www.americaspg.com/storage/51712189642.pdf