A multi-objective model for allocation of Magnetically Controlled Shunt Reactors

2015 ◽  
Author(s):  
Monazzah Ebrahimi ◽  
Rahim Zeinali ◽  
Hassan Siahkali
Keyword(s):  
Multi Objective ◽  
Objective Model ◽  
Shunt Reactors

scholarly journals Economical Speed for Optimizing the Travel Time and Energy Consumption in Train Scheduling using a Fuzzy Multi-Objective Model

2021 ◽  
Author(s):  
Ahmad Reza Jafarian-Moghaddam
Keyword(s):  
Energy Consumption ◽  
Travel Time ◽  
Pollutant Emissions ◽  
Scheduling Problems ◽  
Train Scheduling ◽  
Multi Objective ◽  
Consumption Ratio ◽  
Proposed Model ◽  
Objective Model ◽  
Time And Energy

AbstractSpeed is one of the most influential variables in both energy consumption and train scheduling problems. Increasing speed guarantees punctuality, thereby improving railroad capacity and railway stakeholders’ satisfaction and revenues. However, a rise in speed leads to more energy consumption, costs, and thus, more pollutant emissions. Therefore, determining an economic speed, which requires a trade-off between the user’s expectations and the capabilities of the railway system in providing tractive forces to overcome the running resistance due to rail route and moving conditions, is a critical challenge in railway studies. This paper proposes a new fuzzy multi-objective model, which, by integrating micro and macro levels and determining the economical speed for trains in block sections, can optimize train travel time and energy consumption. Implementing the proposed model in a real case with different scenarios for train scheduling reveals that this model can enhance the total travel time by 19% without changing the energy consumption ratio. The proposed model has little need for input from experts’ opinions to determine the rates and parameters.

A two-sided matching decision-making approach based on regret theory under intuitionistic fuzzy environment

2021 ◽  
pp. 1-18
Author(s):  
Xiang Jia ◽  
Xinfan Wang ◽  
Yuanfang Zhu ◽  
Lang Zhou ◽  
Huan Zhou
Keyword(s):  
Decision Making ◽  
Hamming Distance ◽  
Optimal Solution ◽  
Intuitionistic Fuzzy Sets ◽  
Regret Theory ◽  
Multi Objective ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Objective Model ◽  
Single Objective

This study proposes a two-sided matching decision-making (TSMDM) approach by combining the regret theory under the intuitionistic fuzzy environment. At first, according to the Hamming distance of intuitionistic fuzzy sets and regret theory, superior and inferior flows are defined to describe the comparative preference of subjects. Hereafter, the satisfaction degrees are obtained by integrating the superior and inferior flows of the subjects. The comprehensive satisfaction degrees are calculated by aggregating the satisfaction degrees, based on which, a multi-objective TSMDM model is built. Furthermore, the multi-objective TSMDM model is converted to a single-objective model, the optimal solution of the latter is derived. Finally, an illustrative example and several analyses are provided to verify the feasibility and the effectiveness of the proposed approach.

scholarly journals Multi-objective model optimisation using genetic algorithms for pleurotus sp. cultivation

2020 ◽  
Vol 863 ◽  
pp. 012027
Author(s):  
N Zainol ◽  
A S Fakharudin ◽  
N A Dzulkefli ◽  
M F A Bakar
Keyword(s):  
Genetic Algorithms ◽  
Multi Objective ◽  
Objective Model

A multi-objective model for cordon-based congestion pricing schemes with nonlinear distance tolls

2016 ◽  
Vol 23 (5) ◽  
pp. 1273-1282 ◽  
Author(s):  
Xin Sun ◽  
Zhi-yuan Liu ◽  
Russell G. Thompson ◽  
Yi-ming Bie ◽  
Jin-xian Weng ◽  
...  
Keyword(s):  
Congestion Pricing ◽  
Multi Objective ◽  
Objective Model ◽  
Pricing Schemes

A Novel Multi-Objective Model Calibration Method for Ecohydrological Applications

2021 ◽  
pp. 105161
Author(s):  
J. Sebastian Hernandez-Suarez ◽  
A. Pouyan Nejadhashemi ◽  
Kalyanmoy Deb
Keyword(s):  
Model Calibration ◽  
Calibration Method ◽  
Multi Objective ◽  
Objective Model
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