An Innovative Hybrid Biologically Inspired Method for Traffic Optimization Problem

2021 ◽  
Author(s):  
S. Srivastava ◽  
T. Stephan ◽  
S. K. Sahana
Keyword(s):  
Optimization Problem ◽  
Biologically Inspired ◽  
Traffic Optimization

scholarly journals Flight Level Assignment Using Graph Coloring

2020 ◽  
Vol 10 (18) ◽  
pp. 6157
Author(s):  
Jose Manuel Gimenez-Guzman ◽  
Alejandra Martínez-Moraian ◽  
Rene D. Reyes-Bardales ◽  
David Orden ◽  
Ivan Marsa-Maestre
Keyword(s):  
Fuel Consumption ◽  
Graph Coloring ◽  
Optimization Problem ◽  
Air Traffic ◽  
The Other ◽  
Safety Constraints ◽  
Flight Level ◽  
The One ◽  
Traffic Optimization ◽  
Spectrum Graph

This paper models an air traffic optimization problem where, on the one hand, flight operators seek to minimize fuel consumption flying at optimal cruise levels and, on the other hand, air traffic managers aim to keep intersecting airways at as distant as possible flight levels. We study such a problem as a factorized optimization, which is addressed through a spectrum graph coloring model, evaluating the effect that safety constraints have on fuel consumption, and comparing different heuristic approaches for allocation.

A survey of research on the application-layer traffic optimization problem and the need for layer cooperation

2009 ◽  
Vol 47 (8) ◽  
pp. 107-112 ◽  
Author(s):  
V. Gurbani ◽  
V. Hilt ◽  
I. Rimac ◽  
M. Tomsu ◽  
E. Marocco
Keyword(s):  
Optimization Problem ◽  
Application Layer ◽  
Traffic Optimization

scholarly journals Analysis of Delay Time and layout using Heuristics Algorithms

2019 ◽  
Vol 8 (9) ◽  
pp. 3020-3028
Keyword(s):  
Delay Time ◽  
Optimization Problem ◽  
Selection Criterion ◽  
Idle Time ◽  
Manufacturing Industries ◽  
Sample Problem ◽  
Assembly Lines ◽  
Biologically Inspired ◽  
Task Order ◽  
Positional Weight

ALB is commonly known as combinatorial optimization problem in manufacturing industries and operation management circumstances. Because of the NP-hard characteristics of ALB problem, lot of tries have been done to solve the problem professionally. The critical concern in analysing ALB is how to generate a possible task order which does not disrupt the priority restrictions. This job arranging is a vigorous work to be answered prior to passing on jobs to workstation. Balance delay time (total idle time) is the total of idle time on fabrication assembly lines triggered by the irregular partition of work among operators or stations. In this thesis, SALBP-1 analysed using the three heuristic techniques. Kilbridge and Westers Method (KWM), Ranked Positional weight (RPW) and biologically inspired evolutionary computing tool which is heuristic treated Genetic Algorithm (GA) was applied to solve the ALB problem with the main aim of reducing the balance delay time in the workstation and the best method was selected. The selection criterion was based on the minimum balance delay for the sample problem. The result obtained by heuristic treated GA with 4.545% of balance delay for the sample problem taken was the best when compared to other two methods.

scholarly journals Carrier optimization using CAD software and biologically inspired algorithms

2021 ◽  
Vol 27 (1) ◽  
pp. 25-31
Author(s):  
Marija Mojsilović ◽  
Ivana Terzić ◽  
Snežana Gavrilović ◽  
Goran Miodragović
Keyword(s):  
Comparative Analysis ◽  
Software Package ◽  
Optimization Problem ◽  
Biologically Inspired ◽  
Independent Variables ◽  
Software Packages ◽  
Optimal Profile ◽  
Biologically Inspired Algorithms ◽  
Two Independent Variables

This paper presents a comparative analysis of the application of biologically inspired algorithms and methodologies in CAD software packages, for determining the optimal profile values in carriers with two independent variables. As an example of a biologically inspired algorithm to solve this optimization problem, the scroll algorithm was applied, while the SolidWorks software package was used as an example of CAD.

Exergy and sensibility analysis of each individual effect in a kraft multiple effect evaporator

TAPPI Journal ◽  
2019 ◽  
Vol 18 (10) ◽  
pp. 607-618
Author(s):  
JÉSSICA MOREIRA ◽  
BRUNO LACERDA DE OLIVEIRA CAMPOS ◽  
ESLY FERREIRA DA COSTA JUNIOR ◽  
ANDRÉA OLIVEIRA SOUZA DA COSTA
Keyword(s):  
Optimization Problem ◽  
Real Data ◽  
Kraft Pulping ◽  
Steam Temperature ◽  
Input Flow ◽  
Transfer Coefficients ◽  
Heat Transfer Coefficients ◽  
Multiple Effect ◽  
Sensibility Analysis ◽  
Exergetic Analysis

The multiple effect evaporator (MEE) is an energy intensive step in the kraft pulping process. The exergetic analysis can be useful for locating irreversibilities in the process and pointing out which equipment is less efficient, and it could also be the object of optimization studies. In the present work, each evaporator of a real kraft system has been individually described using mass balance and thermodynamics principles (the first and the second laws). Real data from a kraft MEE were collected from a Brazilian plant and were used for the estimation of heat transfer coefficients in a nonlinear optimization problem, as well as for the validation of the model. An exergetic analysis was made for each effect individually, which resulted in effects 1A and 1B being the least efficient, and therefore having the greatest potential for improvement. A sensibility analysis was also performed, showing that steam temperature and liquor input flow rate are sensible parameters.

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