The Optimal High Performance Computing Infrastructure for Solving High Complexity Problem

Sibaroni, Yuliant; Fitriyani, Fitriyani; Nhita, Fhira

doi:10.12928/telkomnika.v14i4.3586

Cited by 2 publications

(1 citation statement)

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“…The optimal value of mutation probability is actually different for each case handled. In some cases of non-transportation fields, the optimal value of mutation probability is obtained from a higher value [14][15]. While in the field of transportation research, the used mutation probability value is relatively low [6], [10][11] .…”

Section: E Mutation Processmentioning

confidence: 99%

The Prediction of Optimal Route of City Transportation Based on Passenger Occupancy using Genetic Algorithm: A Case Study in The City of Bandung

2018

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Currently, the existence of city transport is increasingly eliminated b y private vehicles such as cars and motorcycles. This situation is further exacerb ated b y the b ehavior of city transport drivers who are less discipline in driving, or in picking up and dropping off their passengers. The b ad b ehavior is partly caused b y the low level of passenger occupancy. The drivers try to search for passengers as much as possib le b ut often ignore the traffic rules. To overcome this prob lem, an optimal transport route with high passenger potential is required. Therefore, this study investigated the optimal route of city transport b ased on the passenger occupancy rate in the city of Bandung as the case study. The method employed for determining the optimal route is Genetic algorithm comb ined with Ordinary Kriging method used for the process of passenger prediction and fitness calculation. The optimal routes are those with higher occupancy rate. The analysis results showed that the use of the Genetic algorithm with a low numb er of generations succeed in creating new optimal routes even though the increase is not too high the maximum only reaches 4%.This result is certainly important enough to b e used in making b etter pub lic transport routes.

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Section: E Mutation Processmentioning

confidence: 99%

The Prediction of Optimal Route of City Transportation Based on Passenger Occupancy using Genetic Algorithm: A Case Study in The City of Bandung

2018

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High-Performance Computing (HPC) design to improve the quality of Introduction of Parallel Computing lectures

Alfianto

Sa’diyah²,

Rusydi

et al. 2019

IOP Conf. Ser.: Mater. Sci. Eng.

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The Optimal High Performance Computing Infrastructure for Solving High Complexity Problem

Abstract: The high complexity of the problems today requires increasingly powerful hardware performance. Corresponding economic laws, the more reliable the performance of the hardware, it will be comparable to the higher price. Associated with the high-performance computing (HPC)

Cited by 2 publications

References 12 publications

The Prediction of Optimal Route of City Transportation Based on Passenger Occupancy using Genetic Algorithm: A Case Study in The City of Bandung

The Prediction of Optimal Route of City Transportation Based on Passenger Occupancy using Genetic Algorithm: A Case Study in The City of Bandung

High-Performance Computing (HPC) design to improve the quality of Introduction of Parallel Computing lectures

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