Interchange objective value method for distributed multi-objective optimization: Theory, application, implementation

2019 ◽  
Vol 239 ◽  
pp. 1066-1076 ◽  
Author(s):  
Linfei Yin ◽  
Tao Wang ◽  
Senlin Wang ◽  
Baomin Zheng
Keyword(s):  
Optimization Theory ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Theory Application ◽  
Objective Value

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.

Multi-Objective Optimization Design of Vibration Screener Support Spring Parameters with Vibration Mechanics

2012 ◽  
Vol 252 ◽  
pp. 144-148
Author(s):  
Ling Qin Meng ◽  
Zhi Wei Wang
Keyword(s):  
Optimal Design ◽  
Optimization Design ◽  
Building Materials ◽  
Design Method ◽  
Optimization Theory ◽  
Penalty Function Method ◽  
Multi Objective Optimization ◽  
Vertical Stiffness ◽  
Multi Objective ◽  
Future Design

Vibration screener is an important mechanism which is widely applied to metallurgy, building materials, chemical industry, grain, mine, etc. On the basis of deeply studying work principle and support structure of vibration screener, the paper conducts ZKB Linear vibration screener as study object. According to mass of vibration, vertical stiffness, horizontal stiffness, vertical amplitude, horizontal amplitude, and free high of vibration screener support spring, the paper conducts the lightest weight of support spring and the biggest fatigue safety factor as the objective function of multi-objective optimization design to establish a series of constraints. Then using of the penalty function method of optimization theory , the paper gets the optimal design results of support spring and gives the optimal design dimensions, which provides a reliable design method of support spring for the future design of vibration screener and reduce the blindness of the design .

scholarly journals A Decision Making Approach for Multi-Objective Optimization Considering A Trade-off Method

2017 ◽  
Vol 11 (2) ◽  
pp. 178-189
Author(s):  
Tipwimol Sooktip ◽  
Naruemon Wattanapongsakorn
Keyword(s):  
Decision Maker ◽  
Optimization Problem ◽  
Benchmark Problems ◽  
Optimal Solutions ◽  
Multi Objective Optimization ◽  
Trade Off ◽  
Multi Objective ◽  
Component Allocation ◽  
Objective Value ◽  
Preferred Solutions

In multi-objective optimization problem, a set of optimal solutions is obtained from an optimization algorithm. There are many trade-off optimal solutions. However, in practice, a decision maker or user only needs one or very few solutions for implementation. Moreover, these solutions are difficult to determine from a set of optimal solutions of complex system. Therefore, a trade-off method for multi-objective optimization is proposed for identifying the preferred solutions according to the decision maker’s preference. The preference is expressed by using the trade-off between any two objectives where the decision maker is willing to worsen in one objective value in order to gain improvement in the other objective value. The trade-off method is demonstrated by using well-known two-objective and three-objective benchmark problems. Furthermore, a system design problem with component allocation is also considered to illustrate the applicability of the proposed method. The results show that the trade-off method can be applied for solving practical problems to identify the final solution(s) and easy to use even when the decision maker lacks some knowledge or not an expert in the problem solving. The decision maker only gives his/her preference information.  Then, the corresponding optimal solutions will be obtained, accordingly.

Research on Comprehensive Optimizing for Special Vehicle Handling and Riding Based on Multi-Objective Optimization Theory

2013 ◽  
Vol 467 ◽  
pp. 549-557
Author(s):  
Jun Li ◽  
Shi Hua Yuan ◽  
Ke Chen
Keyword(s):  
Solution Method ◽  
Optimization Theory ◽  
Multi Objective Optimization ◽  
Pareto Solutions ◽  
Pareto Solution ◽  
Vehicle Handling ◽  
Multi Objective ◽  
Optimization Parameters ◽  
Special Vehicle ◽  
Vehicle Dynamic Model

According to the comprehensive optimizing problem, a vehicle dynamic model based on whole vehicle parameters was established in this paper. Seven optimization targets which are typical means for the special vehicles handling and riding and the twelve optimization parameters of the suspension system were put forward through analysis. And the multi-objective optimization solving was completed by using the multi-objective optimization tool. The pareto solutions for comprehensive optimization were obtained. Through setting standard of the maximum scores of understeer degree and the minimum value of driver seat departments RMS of full domain weighted acceleration, the Pareto solution was obtained. It can provide a solution method for balance and coordination chassis performance of the special vehicle.

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