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 A GROUP OPTIMIZATION METHOD TO ESTIMATE OBJECT IN MULTIVARIABLE SYSTEMS
Tác giả hoặc Nhóm tác giả: Nguyen Hoang Mai
Nơi đăng: SIE procceding Latvia EU 2020; Số: 1;Từ->đến trang: 505-512;Năm: 2020
Lĩnh vực: Khoa học; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
The optimization is an important problem in practice. The events in optimal system can be continuous or discrete or hybrid signals. There are many methods to solve problem as PSO, FTO, Dynamics optimization, Riccati equation, Least square algorithm… One method applied into problem class with limit boundary. For multivariable systems, it is difficult apply last method. This paper presents a Group Optimization Method (GOM) to solve problem of multivariable systems. Using split multivariable to small groups and elect optimal element, we can find the best variable to do priority control and we call this is a main object. There are practice problems need optimization group as cooperation robot system in the factories, army, medicine games, supervisory cloud system of solar power plant, transport system, traffic control systems… the main feature of group optimization is the chaos of elements before choice happens and focus to target of elect variable after choice happens.
ABSTRACT
The optimization is an important problem in practice. The events in optimal system can be continuous or discrete or hybrid signals. There are many methods to solve problem as PSO, FTO, Dynamics optimization, Riccati equation, Least square algorithm… One method applied into problem class with limit boundary. For multivariable systems, it is difficult apply last method. This paper presents a Group Optimization Method (GOM) to solve problem of multivariable systems. Using split multivariable to small groups and elect optimal element, we can find the best variable to do priority control and we call this is a main object. There are practice problems need optimization group as cooperation robot system in the factories, army, medicine games, supervisory cloud system of solar power plant, transport system, traffic control systems… the main feature of group optimization is the chaos of elements before choice happens and focus to target of elect variable after choice happens.
[ 2020\2020m09d07_8_55_50SIE_PresentationNHMai.pdf ]
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