Option of the Housing Construction Model Based on the Multi-Objective Decision-Making Method

2011 ◽  
Author(s):  
Wei Chen ◽  
Guohui Zhang
Keyword(s):  
Decision Making ◽  
Housing Construction ◽  
Multi Objective ◽  
Model Based ◽  
Construction Model

scholarly journals Multi-Objective Virtual Power Plant Construction Model Based on Decision Area Division

2018 ◽  
Vol 8 (9) ◽  
pp. 1484 ◽  
Author(s):  
Jie Duan ◽  
Xiaodan Wang ◽  
Yajing Gao ◽  
Yongchun Yang ◽  
Wenhai Yang ◽  
...  
Keyword(s):  
Power Plant ◽  
Bat Algorithm ◽  
Virtual Power ◽  
Virtual Power Plant ◽  
Multi Objective ◽  
Model Based ◽  
Decision Area ◽  
Important Means ◽  
Construction Model ◽  
High Degree

Virtual power plant (VPP) is an effective technology form to aggregate the distributed energy resources (DERs), which include distributed generation (DG), energy storage (ES) and demand response (DR). The establishment of a unified and coordinated control of VPP is an important means to achieve the interconnection of energy internet. Therefore, this paper focuses on the research of VPP construction model. Firstly, a preliminary introduction on all kinds of the DERs is carried out. According to the relevant guidelines, the decision area of the VPP is carefully divided, and the decision variables representing the various resources in the area are determined. Then, in order to get a VPP with low daily average cost, good load characteristics, high degree of DG consumption and high degree of resource aggregation, a multi-objective VPP construction model based on decision area division is established, and various constraints including geographic information are considered. The improved bat algorithm based on priority selection is used to solve this model. Finally, the correctness and effectiveness of the model are verified by an example.

A New Compromise Solution Model Based on Dantzig–Wolfe Decomposition for Solving Belief Multi-Objective Nonlinear Programming Problems with Block Angular Structure

2017 ◽  
Vol 16 (02) ◽  
pp. 333-387 ◽  
Author(s):  
Behnam Vahdani ◽  
Meghdad Salimi ◽  
Seyed Meysam Mousavi
Keyword(s):  
Decision Making ◽  
Nonlinear Programming ◽  
Large Scale ◽  
Dimensional Space ◽  
Independent Solution ◽  
Angular Structure ◽  
Multi Objective ◽  
Model Based ◽  
Solution Methods ◽  
Single Objective

This paper presents an integrated model based on a compromised solution method to solve fuzzy belief multi-objective large-scale nonlinear programming (FBMOLSNLP) problem with block angular structure. A new method is proposed to transfer each belief decision-making problem into some fuzzy problems. Furthermore, we propose a new compromise method of decision-making as one of the most efficient methods based on the particular measure of closeness to the ideal solution to aggregate multi-objective decision-making (MODM) problems into a single problem. The decomposition algorithm based on Dantzig–Wolfe is utilized to reduce the large-dimensional objective space into a two-dimensional space. Then, Zimmerman method is applied to transfer each bi-objective to a single-objective. Moreover, TOPSIS and VIKOR are utilized as two independent solution methods to aggregate each multi-objective sub-problem. Finally, a new single-objective nonlinear programming problem is solved to find the final solution. To justify the proposed model, two illustrative examples are provided, and the results of three decision methods are compromised.

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