Fusion: Practice and Applications FPA 2692-4048 2770-0070 10.54216/FPA https://www.americaspg.com/journals/show/2625 2018 2018 Department of Multimedia Technologies and Telecommunications, Phystech-School of Radio Engineering and Computer Technologies (FRKT), Moscow Institute of Physics and Technology (MIPT), Dolgoprudny, Russia Murooj Murooj Department of Multimedia Technologies and Telecommunications, Phystech-School of Radio Engineering and Computer Technologies (FRKT), Moscow Institute of Physics and Technology (MIPT), Dolgoprudny, Russia Alexander V. Dvorkovich 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.266Versatile 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.266VVC. The wellness assessment work that guides this choice method combines criteria for perceptual appraisal of video quality and measures for coding productivity appraisal. 2024 2024 08 16 10.54216/FPA.150201 https://www.americaspg.com/articleinfo/3/show/2625