scholarly journals Design Simulation Program of Runway Capacity Using Genetic Algorithm At Soekarno-Hatta Airport

2011 ◽  
Vol 5 (1) ◽  
pp. 11
Author(s):  
Hoga Saragih ◽  
Indra Sulistyo Wibowo ◽  
Wisnu Darjono Tulodo Utomo
Keyword(s):  
Genetic Algorithm ◽  
Key Words ◽  
Efficient Solution ◽  
Simulation Software ◽  
Simulation Program ◽  
Master Plan ◽  
Capacity Increase ◽  
Mathematical Calculation

The purposes of this research are to calculate the capacity of runway with runway capacity simulation software using Genetic Algorithm, and to analyze the efforts which have more profound effect.The result of the hourly runway capacity with the mathematical calculation is 42 operations for arrival only, 110 operations for departure only and 64 operations for mix. To enhance the runway capacity, some strategies are researched, such as reduction of separation to meet criteria set by FAA’s rule, addition of the exit taxiway, addition of the runway according to master plan of Soekamo-Hatta Airport and changing the runway utilization strategies. Out of the four strategies, the most efficient solution is changing the runway utilization strategies (with capacity increase of 35,9 %) and reduction in separation (with capacity increase of 34,4 %). However, the addition of runway has the highest capacity increase, that is 53,9 %..Key Words: genetic algorithm, simulation, runway capacity.

scholarly journals Some Studies on Forming Optimization with Genetic Algorithm

2012 ◽  
Vol 2 (2) ◽  
pp. 105-112
Author(s):  
Ganesh Marotrao KAKANDIKAR ◽  
Vilas M. NANDEDKAR
Keyword(s):  
Genetic Algorithm ◽  
Process Parameters ◽  
Wide Spectrum ◽  
Simulation Software ◽  
Flow Conditions ◽  
Element Analysis ◽  
Blank Holder ◽  
New Approach ◽  
Finite Element Analysis Simulation ◽  
Selection Of

Forming is a compression-tension process involving wide spectrum of operations and flow conditions. The result of the process depends on the large number of parameters and their interdependence. The selection of various parameters is still based on trial and error methods. In this paper the authors presents a new approach to optimize the geometry parameters of circular components, process parameters such as blank holder pressure and coefficient of friction etc. The optimization problem has been formulated with the objective of optimizing the maximum forming load required in Forming. Genetic algorithm is used for the optimization purpose to minimize the drawing load and to optimize the process parameters. A finite element analysis simulation software Fast Form Advanced is used for the validations of the results after optimization.

Study on the Improvement of Genetic Algorithm by Using Vehicle Routing Problem

2013 ◽  
Vol 365-366 ◽  
pp. 194-198 ◽  
Author(s):  
Mei Ni Guo
Keyword(s):  
Genetic Algorithm ◽  
Optimal Solution ◽  
Mathematic Model ◽  
Simulation Software ◽  
Initial Population ◽  
Planning Problem ◽  
Improved Genetic Algorithm ◽  
Routing Problem ◽  
Search Speed ◽  
Vehicle Path

mprove the existing genetic algorithm, make the vehicle path planning problem solving can be higher quality and faster solution. The mathematic model for study of VRP with genetic algorithms was established. An improved genetic algorithm was proposed, which consist of a new method of initial population and partheno genetic algorithm revolution operation.Exploited Computer Aided Platform and Validated VRP by simulation software. Compared this improved genetic algorithm with the existing genetic algorithm and approximation algorithms through an example, convergence rate Much faster and the Optimal results from 117.0km Reduced to 107.8km,proved that this article improved genetic algorithm can be faster to reach an optimal solution. The results showed that the improved GA can keep the variety of cross and accelerate the search speed.

Design Simulation Program of Runway Capacity Using Genetic Algorithm at Soekarno-Hatta

2011 ◽  
Vol 1 (2) ◽  
Author(s):  
Hoga Saragih ◽  
Indra Sulistyo Wibowo ◽  
Wisnu Darjono Tulodo Utomo ◽  
Rusdianto Roestam
Keyword(s):  
Genetic Algorithm ◽  
Simulation Program

Simulation Analysis of Emergency Evacuation on Large Passenger Rail Terminal

2010 ◽  
Vol 148-149 ◽  
pp. 92-98
Author(s):  
Ying Hui Liang ◽  
Xi Zhang ◽  
Pan Zheng
Keyword(s):  
Operations Management ◽  
Simulation Analysis ◽  
Emergency Evacuation ◽  
Simulation Software ◽  
Simulation Program ◽  
It Use ◽  
Simulation Test ◽  
Evacuation Simulation ◽  
Passenger Rail ◽  
Terminal Operations

Emergency evacuation of large passenger station passenger terminal operations management is an important part of management. In this paper, it use legion simulation software, on the Beijing South Railway Station passenger emergency evacuation simulation test, first introduced the Legion simulation software and simulation process, followed by the design of the total number of 5000 and 10,000 people in different device configurations evacuation simulation program; re-use simulation software legion For each program the simulation analysis, the number of the simulation program evacuation and evacuation density optimization Finally, emergency evacuation measures and proposals for the reasonable development of passenger flow planning and organization of decision support programs.

Optimization Waiting Time at Berthing Area of Port Container Terminal with Hybrid Genetic Algorithm (GA) and Artificial Neural Network (ANN)

2014 ◽  
Vol 902 ◽  
pp. 431-436 ◽  
Author(s):  
A. Shahpanah ◽  
S. Poursafary ◽  
S. Shariatmadari ◽  
A. Gholamkhasi ◽  
S.M. Zahraee
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Artificial Neural Network ◽  
Waiting Time ◽  
Container Terminal ◽  
Hybrid Approach ◽  
Simulation Software ◽  
Optimum Number ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

A queuing network model related to arrival, departure and berthing process of ships at port container terminal is presented in this paper. The important datas collected from PTP port container terminal located at Malaysia. Based on the case study the model was built with using Arena 13.5 simulation software. Especially this study proposes a hybrid approach consisting of Genetic algorithm (GA), Artificial Neural Network (ANN) to find the the optimum number of equipments at berthing area of port container terminal. The input data that used in ANN obtained from Arena results. The main goal of this study is reduced waiting time of each ship at port container terminal, and Based on the result the optimum waiting time 50 will be achieved.

scholarly journals Planning the Madiun Fire Outer Ring Railroad Using Autocad Civil 3D

2017 ◽  
Vol 1 (2) ◽  
pp. 81-87
Author(s):  
Adya Aghastya ◽  
Wahyu Tamtomo Adi
Keyword(s):  
Survey Data ◽  
Efficient Solution ◽  
Lower Cost ◽  
Civil Engineering ◽  
Outer Ring ◽  
Master Plan ◽  
Track Width ◽  
Land Survey ◽  
3D Software

Indonesian Railroad Academy Madiun is one of the education UPTs under the Ministry of Transportation which houses the railway sector. To support education in the Madiun API and in accordance with the 2017 Revised Madiun API Master Plan, it is necessary to have additional lines, namely the Madiun API outer ring. Autocad Civil 3D software is very useful in providing an innovative, effective and efficient solution in the process of planning civil engineering specifically for the manufacture of railroad lines so that it is easier, faster and lower cost with the methodology of working on inputting land survey data and carrying out the next alignment design automatically cutting pieces of data transverse, longitudinal, gallian volume and auto fill have been obtained. The planning data that is the speed of the plan used is 30 km / h with a track width of 1,067m. design length of 1234,187m with a slope of 0,0009 or 0.09% below the maximum standard of 10 per ‰, cumulative fill 15584.68 m³ and comulative cut 5719.08 m³.

scholarly journals Optimal Sizing and Economical Analysis of PV-Wind Hybrid Power System for Water Irrigation using Genetic Algorithm

2017 ◽  
Vol 7 (4) ◽  
pp. 1797 ◽  
Author(s):  
Ninet Mohamed Ahmed ◽  
Hanaa Mohamed Farghally ◽  
Faten Hosney Fahmy
Keyword(s):  
Genetic Algorithm ◽  
Power Systems ◽  
Software Tool ◽  
Simulation Software ◽  
Wind System ◽  
Pv System ◽  
Economical Analysis ◽  
Renewable Power ◽  
Pumping System ◽  
South Sinai

In the present study three renewable power systems are proposed to select the most optimum one for powering an irrigation pumping system and a farmer’s house in two different locations in Sinai, Egypt. Abu-Rudies in south Sinai and El-Arish in north Sinai are the two selected locations. The three suggested power systems are; standalone photovoltaic (PV) system, standalone wind system and standalone PV-wind hybrid system. HOGA (Hybrid Optimization by Genetic Algorithms) simulation software tool based on genetic algorithm (GA) is used for sizing, optimization and economical evaluation of three suggested renewable power systems. Optimization of the powersystem is based on the components sizing and the operational strategy.  The calculated maximum amount of water required for irrigating ten acres of olive per day is 170 m<sup>3</sup>. In terms of cost effectiveness, the optimal configurations are the hybrid PV-wind system and the standalone PV system for Abu-Rudies and El-Arish locations respectively. These systems are the most suitable than the others for the selected sites metrological data and the suggested electrical load

A Genetic Algorithm for Solving Single Level Lot–Sizing Problems

2012 ◽  
Author(s):  
Nasaruddin Zenon ◽  
Ab. Rahman Ahmad ◽  
Rosmah Ali
Keyword(s):  
Genetic Algorithm ◽  
Dynamic Programming ◽  
Key Words ◽  
Local Minimum ◽  
Global Minimum ◽  
Lot Sizing ◽  
Initial Population ◽  
Single Level ◽  
Lot Sizing Problem ◽  
The Cost

Masalah pensaizan lot satu aras timbul apabila suatu syarikat pengeluar ingin menjanakan perancangan pengeluaran terperinci bagi produk berpandukan suatu perancangan agregat. Walaupun masalah ini telah dikaji dengan meluas, hanya pendekatan pengaturcaraan dinamik dapat menjamin penyelesaian yang minimum secara global. Maka heuristik-heuristik stokastik yang mampu melepasi minimum tempatan adalah diperlukan. Kajian ini mencadangkan kaedah algoritma genetik untuk menyelesaikan masalah-masalah pensaizan lot satu aras, serta membincangkan beberapa contoh aplikasi kaedah tersebut. Dalam pelaksanaan kaedah ini, heuristik penjanaan populasi pensaizan lot yang dapat menjanakan populasi awal digunakan untuk menyediakan kromosom. Kromosom ini digunakan sebagai input untuk algoritma genetik dengan operator-operator yang khusus bagi masalah pensaizan lot. Gabungan heuristik penjanaan populasi dengan algoritma genetik menghasilkan penumpuan yang lebih pantas dalam proses mendapatkan skim pensaizan lot yang optimum disebabkan oleh ketersauran populasi awal yang digunakan. Kata kunci: ALgorithm Genetik; Pensaizan lot The single level lot-sizing problem arises whenever a manufacturing company wishes to translate an aggregate plan for production of an end item into a detailed planning of its production. Although the cost driven problem is widely studied in the literature, only laborious dynamic programming approaches are known to guarantee global minimum. Thus, stochastically-based heuristics that have the mechanism to escape from local minimum are needed. In this paper a genetic algorithm for solving single level lot-sizing problems is proposed and the results of applying the algorithm to example problems are discussed. In our implementation, a lot-sizing population-generating heuristic is used to feed chromosomes to a genetic algorithm with operators specially designed for lot-sizing problems. The combination of the population-generating heuristic with genetic algorithm results in a faster convergence in finding the optimal lot-sizing scheme due to the guaranteed feasibility of the initial population. Key words: Genetic Algorithm; Lot-sizing

Sequencing Mixed Model Assembly Lines Based on Genetic Algorithm Optimization

2011 ◽  
Vol 279 ◽  
pp. 412-417
Author(s):  
Yin Di Huang ◽  
Rong Hua Bian ◽  
Zhen Xu
Keyword(s):  
Genetic Algorithm ◽  
Waiting Time ◽  
Production Efficiency ◽  
Assembly Line ◽  
Mixed Model ◽  
Optimization Problems ◽  
Simulation Software ◽  
Algorithm Optimization ◽  
Genetic Algorithm Optimization ◽  
Line Production

Firstly, genetic algorithm optimization method was put forward to solve optimization problems of sequencing in actual mixed model passenger car factory assembly line. Then genetic algorithm optimization methods and procedures of mixed model total assembly line production sequencing were studied. Finally, according to the characteristics of the mixed production line, the least total waiting time of vehicle was set to complete assembly as a sequencing optimization objective, the AutoMod simulation software was used to balance the allocation of resources and optimize the sequence by way of genetic algorithm, and the optimal sequencing solution was obtained. After optimization and balance, the total waiting time of mixed model vehicles in complete assembly line was reduced by 69.5%, which improves production efficiency greatly. This also proves the effectiveness of genetic algorithm optimization.

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