Abstract: In the process of life, a person forms and develops a three-level adaptive, thinking and ‘ethical spatial intelligence. Adaptive intelligence is formed and developed in the environment, forming a spatial adaptive ontology. Thinking intelligence is formed and developed by multimodal communication, learning, problem solving and decision making, forming a spatial semantic ontology. Ethical intelligence is formed and developed according to ethical values, forming spatial ethical value ontology. Three-level adaptive thinking ‘ethical spatial ontology participates in decision-making in real time at every moment of human activation in space. Three-level adaptive thinking ‘ethical spatial personal ontology of knowledge and skills can be formed by a generative AI assistant network learning. By forming three-level personal ontology, it will be possible to effectively and efficiently develop relevant and promising scientific research education. Preparing specialist for research activities, teaching his research skills and skills becomes the most important task of modern education. Training a specialist who can think creatively, independently find solutions in problem situations, navigate the information space is a priority in modern research education. Research scientific education helps to prepare qualified specialists capable of independent scientific activity and innovation, which is especially important in the context of a rapidly changing world and global challenges. Consequently, research education allows for the development of practically effective research activities based on the latest trends and discoveries in science, as well as the formation of fundamental science leading to new practical results.
Abstract: In the process of life, a person forms and develops a three-level adaptive, thinking and ‘ethical spatial intelligence. Adaptive intelligence is formed and developed in the environment, forming a spatial adaptive ontology. Thinking intelligence is formed and developed by multimodal communication, learning, problem solving and decision making, formi...Show More
Abstract: A microgrid is an autonomous system that can realize self-control, protection, and management and is composed of distributed power sources, energy storage devices, loads, and control and protection devices. To achieve low operation costs, this paper a multi-strategy enhanced dwarf mongoose optimization algorithm (EDMO) for microgrid scheduling problem is proposed. In EDMO, the convergence speed is accelerated by introducing the golden Sine strategy, which generally makes it difficult to find new excellent solutions at a later stage, lead to a reduction in the population diversity and limiting the development capability, as well as introducing adaptive t-distribution variation to increase the population diversity and the introduction Lévy flight to enhance the algorithm's ability to jump out of the local optimum. The EDMO was compared with other nine algorithms applied to the microgrid optimal scheduling problem. The experimental results show that the proposed EDMO can achieved the lowest total cost, exhibits good performance and robustness, and is an effective method for solving the microgrid scheduling problem.
Abstract: A microgrid is an autonomous system that can realize self-control, protection, and management and is composed of distributed power sources, energy storage devices, loads, and control and protection devices. To achieve low operation costs, this paper a multi-strategy enhanced dwarf mongoose optimization algorithm (EDMO) for microgrid scheduling prob...Show More