Multi-objective decision-making model for distribution system condition-based maintenance

2016 ◽  
Author(s):  
Zhengbo Shan ◽  
Huifang Wang ◽  
Gaoliang Ying ◽  
Bo Zhang ◽  
Jie Xu
Keyword(s):  
Decision Making ◽  
Distribution System ◽  
Condition Based Maintenance ◽  
Multi Objective ◽  
Decision Making Model

Multi-Attribute Group Decision Making Method for Preference Conflicting with Heterogeneous Information

2018 ◽  
Vol 7 (4) ◽  
pp. 1-14 ◽  
Author(s):  
Kai-Rong Liang
Keyword(s):  
Decision Making ◽  
Objective Function ◽  
Group Decision Making ◽  
Group Decision ◽  
Decision Makers ◽  
Heterogeneous Information ◽  
Multi Objective ◽  
Attribute Weights ◽  
Relative Closeness ◽  
Decision Making Model

The aim of this article is to propose a multi-objective decision-making method for researching and solving multi-attribute heterogeneous group decision-making problems. This is in the case that the characters of the decision information and decision makers' preferences are heterogeneous, and the weight information is incomplete. In this method, the multi-objective decision-making model, which considers the alternatives decision relative closeness and the preference of heterogeneous degree of decision makers in the objective function, is put forward. In addition, this article uses the minimax method to derive the multi-objective decision-making model and obtain the attribute weights and decision makers weights, and then the optimal scheme is established. Finally, an illustrative example shows the effectiveness of the proposed method.

scholarly journals Decision-Making of Underwater Cooperative Confrontation Based on MODPSO

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2211
Author(s):  
Na Wei ◽  
Mingyong Liu ◽  
Weibin Cheng
Keyword(s):  
Decision Making ◽  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Communication Delay ◽  
Discrete Particle Swarm Optimization ◽  
Swarm Optimization ◽  
Discrete Particle ◽  
Multi Objective ◽  
Decision Making Model ◽  
The Impact

This paper proposes a multi-objective decision-making model for underwater countermeasures based on a multi-objective decision theory and solves it using the multi-objective discrete particle swarm optimization (MODPSO) algorithm. Existing decision-making models are based on fully allocated assignment without considering the weapon consumption and communication delay, which does not conform to the actual naval combat process. The minimum opponent residual threat probability and minimum own-weapon consumption are selected as two functions of the multi-objective decision-making model in this paper. Considering the impact of the communication delay, the multi-objective discrete particle swarm optimization (MODPSO) algorithm is proposed to obtain the optimal solution of the distribution scheme with different weapon consumptions. The algorithm adopts the natural number coding method, and the particle corresponds to the confrontation strategy. The simulation result shows that underwater communication delay impacts the decision-making selection. It verifies the effectiveness of the proposed model and the proposed multi-objective discrete particle swarm optimization algorithm.

A multi-objective decision-making model to select waste electrical and electronic equipment transportation media

2012 ◽  
Vol 66 ◽  
pp. 76-84 ◽  
Author(s):  
Ch. Achillas ◽  
D. Aidonis ◽  
Ch. Vlachokostas ◽  
N. Moussiopoulos ◽  
G. Banias ◽  
...  
Keyword(s):  
Decision Making ◽  
Electronic Equipment ◽  
Multi Objective ◽  
Decision Making Model

scholarly journals A Stochastic MPEC Approach for Grid Tariff Design with Demand Side Flexibility

2019 ◽  
Author(s):  
Magnus Askeland ◽  
Thorsten Burandt ◽  
Steven A. Gabriel
Keyword(s):  
Decision Making ◽  
Power System ◽  
Distribution System ◽  
End Users ◽  
Branch And Cut ◽  
Mixed Integer ◽  
Decentralized Decision Making ◽  
System Operator ◽  
Stochastic Case ◽  
Decision Making Model

<div>As the end-users increasingly can provide flexibility to the power system, it is important to consider how this flexibility can be activated as a resource for the grid. Electricity network tariffs are one option that can be used to activate this flexibility. Therefore, by designing efficient grid tariffs, it might be possible to reduce the total costs in the power system by incentivizing a change in consumption patterns.</div><div><br></div><div>This paper provides a methodology for optimal grid tariff design under decentralized decision-making and uncertainty in demand, power prices, and renewable generation. A bilevel model is formulated to adequately describe the interaction between the end-users and a distribution system operator. In addition, a centralized decision-making model is provided for benchmarking purposes. The bilevel model is reformulated as a mixed-integer linear problem solvable by branch-and-cut techniques.</div><div><br></div><div>Results for a deterministic example and a stochastic case study are presented and discussed.</div>

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