scholarly journals Sub-flow assignment model of multicast flows using multiple P2MP LSPs

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Fernando Solano ◽  
Ramón Fabregat ◽  
Yezid Donoso
Keyword(s):  
Traffic Engineering ◽  
Multiple Point ◽  
Multi Objective ◽  
System Equation ◽  
Assignment Model ◽  
Flow Assignment ◽  
Liner System ◽  
S Model ◽  
Engineering Scheme

In previous works, a multi-objective traffic engineering scheme (MHDB-S model) using different distribution trees to multicast several flows were proposed. Because the flow assignment cannot be mapped directly into MPLS architecture, in this paper, we propose a liner system equation to create multiple point-2-multipoint LSPs based on the optimum sub-flow values obtained with our MHDB-S model.

Multi-Objective Fleet Assignment Problem Based on Self-Adaptive Genetic Algorithm

2013 ◽  
Vol 694-697 ◽  
pp. 2895-2900 ◽  
Author(s):  
Xiao Yang ◽  
Bo Jiang
Keyword(s):  
Genetic Algorithm ◽  
Carbon Emissions ◽  
Assignment Problem ◽  
Network Capacity ◽  
Total Carbon ◽  
Adaptive Genetic Algorithm ◽  
Multi Objective ◽  
Route Network ◽  
Assignment Model ◽  
Key Factor

Since the beginning of the twenty-first century, energy conservation has become the theme of the development of the world. China government set the emissions-reduction targets in various industries on the 12th Five-Year Plan. And the airlines were committed to reduce their carbon emissions. From an operational perspective, the airline model assignment problem is a key factor of the total carbon emissions on the entire route network. But the traditional aircraft assignment models approach did not account for this purpose to reduce carbon emissions. By constructing the multi-objective optimization models consider carbon emissions assignment model using a genetic algorithm, numerical example shows that the model is able to meet all aspects demand which include meeting route network capacity demand, minimizing operating costs and reducing total aircraft fleet carbon emissions.

On multi-objective extensions of the classical assignment model with fuzzy parameters and fuzzy goals

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Grace Estrada ◽  
Reuella J. Bacalso ◽  
Carmelita Loquias ◽  
Enrico Enriquez ◽  
Lanndon A. Ocampo
Keyword(s):  
Multi Objective ◽  
Assignment Model ◽  
Fuzzy Goals ◽  
Fuzzy Parameters

scholarly journals Assignment model with multi-objective linear programming for allocating choice ranking using recurrent neural network

2021 ◽  
Author(s):  
Zahra Sadat Mirzazadeh ◽  
Javad Banihassan ◽  
Amin Mansoori
Keyword(s):  
Neural Network ◽  
Linear Programming ◽  
Recurrent Neural Network ◽  
Absolute Priority ◽  
Multi Objective ◽  
Assignment Method ◽  
Assignment Model ◽  
Decision Attributes ◽  
Linear Programming Problems ◽  
Linear Assignment

Classic linear assignment method is a multi-criteria decision-making approach in which criteria are weighted and each rank is assigned to a choice. In this study, to abandon the requirement of calculating the weight of criteria and use decision attributes prioritizing and also to be able to assign a rank to more than one choice, a multi-objective linear programming (MOLP) method is suggested. The objective function of MOLP is defined for each attribute and MOLP is solved based on absolute priority and comprehensive criteria methods. For solving the linear programming problems we apply a recurrent neural network (RNN). Indeed, the Lyapunov stability of the model is proved. Results of comparing the proposed method with TOPSIS, VICOR, and MOORA methods which are the most common multi-criteria decision schemes show that the proposed approach is more compatible with these methods.

scholarly journals Quantifying road traffic emissions embedded in a multi-objective traffic assignment model

2020 ◽  
Vol 47 ◽  
pp. 648-655 ◽  
Author(s):  
Eloísa Macedo ◽  
Ricardo Tomás ◽  
Paulo Fernandes ◽  
Margarida C. Coelho ◽  
Jorge M. Bandeira
Keyword(s):  
Traffic Assignment ◽  
Road Traffic ◽  
Traffic Emissions ◽  
Multi Objective ◽  
Road Traffic Emissions ◽  
Assignment Model

scholarly journals Flow assignment model for quantitative analysis of diverting bulk freight from road to railway

PLoS ONE ◽  
2017 ◽  
Vol 12 (8) ◽  
pp. e0182179 ◽  
Author(s):  
Chang Liu ◽  
Boliang Lin ◽  
Jiaxi Wang ◽  
Jie Xiao ◽  
Siqi Liu ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Assignment Model ◽  
Flow Assignment

Optimization of Tour Line Structure Flow Assignment Model: Based on Resort Environment Pressure

2014 ◽  
Vol 926-930 ◽  
pp. 3866-3869
Author(s):  
Rong Zhao ◽  
Pei Yu Ren ◽  
Lin Chen
Keyword(s):  
Approximate Solution ◽  
Equilibrium Distribution ◽  
Ecological Environment ◽  
Distribution Model ◽  
Optimal Approximate Solution ◽  
Assignment Model ◽  
Flow Assignment ◽  
Structure Flow ◽  
Set Up ◽  
Tourist Flow

To set up a resort’s equilibrium tourist flow assignment model, the tour line features of the tourists are considered. This model firstly initiates a tourist equilibrium distribution model for the resort and then gets an optimal approximate solution when a tourist group reaches a certain scale. Next, the resort’s tourist equilibrium shunting model is built and an optimal approximate solution is provided from the present resort tourist distribution. By analyzing the results, it is found that this model is able to realize the resort’s dynamic shunting steadily, to effectively lower the resort’s congestion and to reduce the ecological environment pressure.

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