Multi-objective optimization of geometric parameters for the helically coiled tube using Markowitz optimization theory

Energy ◽  
2020 ◽  
Vol 192 ◽  
pp. 116567
Author(s):  
Yong Han ◽  
Xue-sheng Wang ◽  
Zhao Zhang ◽  
Hao-nan Zhang
Keyword(s):  
Optimization Theory ◽  
Geometric Parameters ◽  
Multi Objective Optimization ◽  
Coiled Tube ◽  
Multi Objective ◽  
Helically Coiled Tube

scholarly journals Multi-objective Optimization of Turning Tool Geometric Parameters Based on Kriging Model

2021 ◽  
Vol 2137 (1) ◽  
pp. 012046
Author(s):  
Jianxiang Sun ◽  
Huan Xie ◽  
Wei Zeng ◽  
Yaoyao Tong ◽  
Zhenyu Cai
Keyword(s):  
Rake Angle ◽  
Geometric Parameters ◽  
Cutting Edge ◽  
Cutting Performance ◽  
Performance Parameters ◽  
Multi Objective Optimization ◽  
Cutting Edge Radius ◽  
Multi Objective ◽  
Edge Radius ◽  
Relief Angle

Abstract Cutting performance parameters of turning tool in different geometric parameters are obtained using finite element model, and the Kriging models of cutting stress and temperature are constructed, taking the cutting performance parameters as training samples. The multi-objective optimization model of turning tool geometric parameters is established based on the constructed cutting performance Kriging models, in which the design variables are rake angle, relief angle and cutting-edge radius, the objective parameters are cutting stress and temperature. The multi-island genetic algorithm is used to obtain the optimum turning tool geometric parameters: rake angle γo is 10.59°, relief angle λs is 6.15°and cutting-edge radius γE is 0.73mm. The simulation results after optimization demonstrate that the corresponding cutting temperature reduces 263.1°C, cutting stress drops by 550.8MPa.

scholarly journals Multi-objective optimization of single-lane roundabout geometric design: safety, mobility, and environmental sustainability

2021 ◽  
Author(s):  
Hend Ahmed ◽  
Said M. Easa
Keyword(s):  
Environmental Sustainability ◽  
Vehicle Emissions ◽  
Geometric Design ◽  
Geometric Parameters ◽  
Specific Power ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Highway Safety Manual ◽  
Optimization Methodology ◽  
The Uk

Mobility, safety performance and environmental sustainability are priorities in the geometric design of roundabouts. This thesis presents a multi-objective optimization methodology for the geometric design of single-lane roundabouts. Mobility is defined in terms of roundabout delay and modeled using the (UK) empirical model. The collision frequency represents the safety objective, and modeled using the methodology outlined in the Highway Safety Manual. Environmental sustainability is represented by NOX, HC, CO2, and CO vehicle emissions and is modeled using the vehicle specific power (VSP) methodology. The presented model directly identifies the optimal geometric parameters of roundabouts. Traffic data, site conditions, and guidelines limitations were used as input data while the output decision values that minimize delay, collisions, and vehicle emissions are the optimal geometric parameters. The practical application of the proposed model is illustrated using an application example. The model was validated using an actual location, and a sensitivity analysis was conducted.

Multi-sensor multi-objective optimization deployment on complex terrain based on Pareto optimal theory

2019 ◽  
Vol 10 (04) ◽  
pp. 1950023
Author(s):  
Gongguo Xu ◽  
Xiusheng Duan ◽  
Ganlin Shan
Keyword(s):  
Complex Terrain ◽  
Search Algorithm ◽  
Optimization Theory ◽  
Convergence Time ◽  
Sensor Deployment ◽  
Pareto Optimal ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Intelligent Search ◽  
Sensing Model

Multiple optimization objectives are often taken into account during the process of sensor deployment. Aiming at the problem of multi-sensor deployment in complex environment, a novel multi-sensor deployment method based on the multi-objective intelligent search algorithm is proposed. First, the complex terrain is modeled by the multi-attribute grid technology to reduce the computational complexity, and a truncation probability sensing model is presented. Two strategies, the local mutation operation and parameter adaptive operation, are introduced to improve the optimization ability of quantum particle swarm optimization (QPSO) algorithm, and then an improved multi-objective intelligent search algorithm based on QPSO is put forward to get the Pareto optimal front. Then, considering the multi-objective deployment requirements, a novel multi-sensor deployment method based on the multi-objective optimization theory is built. Simulation results show that the proposed method can effectively deal with the problem of multi-sensor deployment and provide more deployment schemes at once. Compared with the traditional algorithms, the Pareto optimal fronts achieved by the improved multi-objective search algorithm perform better on both convergence time and solution diversity aspects.

Multi-Objective Optimization Method for Borehole Trajectory Design of Directional Well

2012 ◽  
Vol 152-154 ◽  
pp. 816-819
Author(s):  
Jian Bing Zhang ◽  
Xin Liu ◽  
Xiang Hong Lv
Keyword(s):  
Optimization Design ◽  
Ideal Point ◽  
Optimization Theory ◽  
Mathematic Model ◽  
Optimization Method ◽  
Drill String ◽  
Trajectory Design ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Multi Objective Programming

To offer those who are engaged in oil development a multi-objective design method of borehole trajectory for a directional well, the author adopted optimization theory to build a multi-objective optimization mathematic model with the shortest trajectory, the lowest drill string torque and the minimum rig hook load as final objectives, and put forward an approach to seek effective solutions to these multi-objective programming problems with ideal point method. The approach proposed in the paper can help satisfy concurrently multiple objectives of drilling design for an oilfield to implement the multi-objective optimization design schemes of borehole trajectory for a directional well, and to reduce the oilfield development costs accordingly.

Application of Multi-Objective Optimization Model in Design of Photovoltaic Architecture

2013 ◽  
Vol 347-350 ◽  
pp. 1525-1529
Author(s):  
Jie Shi ◽  
Jun Shi ◽  
Lin Lin Yang ◽  
Xiu Ying Tang ◽  
Yi Jie Zhang
Keyword(s):  
Power Generation ◽  
Computer Aided Design ◽  
Rapid Development ◽  
Unit Cost ◽  
Current Trend ◽  
Ideal Point ◽  
Optimization Theory ◽  
Shanxi Province ◽  
Multi Objective Optimization ◽  
Multi Objective

With the increasingly serious crisis of the energy problem, all around the world, the application of solar energy has become an approach of solving the problem undoubtedly. In recent years, due to the rapid development of Chinese photovoltaic (PV) industry, the emergence of PV buildings is more and more widely in the domestic. The current trend is to apply Computer-Aided Design (CAD) software to realize the design of Building Integrated Photovoltaic (BIPV). The core problem of CAD is to obtain the best solution to a laying scheme of PV cell. In this paper, the design problem of PV building is concerned about. Through the research on the multi-objective optimization theory, it is to establish the model of multi-objective optimization that can meet these two objectives of the largest total annual solar photovoltaic power generation, yet the smallest possible the unit cost of power generation. The model can be solved by MATLAB using ideal point method. In order to detail explain the application of model and verify it, the design of PV cabin, in Datong area of Shanxi Province, is as an example. The study has laid the foundation for the development of CAD in the future.

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