A related line set based preset fault set search algorithm in reliability assessment

2016 ◽  
Author(s):  
Qi Zhao ◽  
Lin Guan ◽  
YaoTang L.V. ◽  
Tao Wang
Keyword(s):  
Search Algorithm ◽  
Reliability Assessment ◽  
Related Line

Optimal broadcast scheduling method for VANETs: An adaptive discrete firefly approach

2020 ◽  
Vol 39 (6) ◽  
pp. 8125-8137
Author(s):  
Jackson J Christy ◽  
D Rekha ◽  
V Vijayakumar ◽  
Glaucio H.S. Carvalho
Keyword(s):  
Intelligent Transportation System ◽  
Search Algorithm ◽  
Mac Protocol ◽  
High Mobility ◽  
Optimal Solution ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Traffic Density ◽  
Scheduling Problem ◽  
Broadcast Scheduling

Vehicular Adhoc Networks (VANET) are thought-about as a mainstay in Intelligent Transportation System (ITS). For an efficient vehicular Adhoc network, broadcasting i.e. sharing a safety related message across all vehicles and infrastructure throughout the network is pivotal. Hence an efficient TDMA based MAC protocol for VANETs would serve the purpose of broadcast scheduling. At the same time, high mobility, influential traffic density, and an altering network topology makes it strenuous to form an efficient broadcast schedule. In this paper an evolutionary approach has been chosen to solve the broadcast scheduling problem in VANETs. The paper focusses on identifying an optimal solution with minimal TDMA frames and increased transmissions. These two parameters are the converging factor for the evolutionary algorithms employed. The proposed approach uses an Adaptive Discrete Firefly Algorithm (ADFA) for solving the Broadcast Scheduling Problem (BSP). The results are compared with traditional evolutionary approaches such as Genetic Algorithm and Cuckoo search algorithm. A mathematical analysis to find the probability of achieving a time slot is done using Markov Chain analysis.

Comparison of Meta-heuristic Algorithms on Benchmark Functions

2019 ◽  
Vol 2 (3) ◽  
pp. 508-517
Author(s):  
FerdaNur Arıcı ◽  
Ersin Kaya
Keyword(s):  
Heuristic Algorithms ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Optimization Algorithms ◽  
Gravitational Search Algorithm ◽  
Differential Evolution Algorithm ◽  
Population Based ◽  
Time Interval ◽  
Bee Colony ◽  
Different Characteristics

Optimization is a process to search the most suitable solution for a problem within an acceptable time interval. The algorithms that solve the optimization problems are called as optimization algorithms. In the literature, there are many optimization algorithms with different characteristics. The optimization algorithms can exhibit different behaviors depending on the size, characteristics and complexity of the optimization problem. In this study, six well-known population based optimization algorithms (artificial algae algorithm - AAA, artificial bee colony algorithm - ABC, differential evolution algorithm - DE, genetic algorithm - GA, gravitational search algorithm - GSA and particle swarm optimization - PSO) were used. These six algorithms were performed on the CEC’17 test functions. According to the experimental results, the algorithms were compared and performances of the algorithms were evaluated.

An Improved Version of Algebraic Codebook Search Algorithm for an AMR-WB Speech Coder

Informatica ◽  
2017 ◽  
Vol 28 (2) ◽  
pp. 403-414 ◽  
Author(s):  
Ming-Che Yeh ◽  
Cheng-Yu Yeh ◽  
Shaw-Hwa Hwang
Keyword(s):  
Search Algorithm ◽  
Speech Coder

Analyzing the accuracy of bank reliability assessment based on official reporting

2020 ◽  
Vol 26 (2) ◽  
pp. 327-348
Author(s):  
O.I. Razumova
Keyword(s):  
Financial Reporting ◽  
Financial Stability ◽  
Systems Approach ◽  
Reliability Assessment ◽  
Financial Statements ◽  
Rating Agencies ◽  
Short Term Forecasting ◽  
One Year ◽  
Key Indicators ◽  
Correct Forecast

Subject. The article considers ratings of banks' reliability. Objectives. The aim is to evaluate the accuracy of existing methodology for bank reliability assessment based on official reporting, to identify patterns between indicators and factors that can affect the financial sustainability of a bank. Methods. The study draws on the comparative analysis of key indicators of bank's financial statements one year prior to the introduction of provisional administration, and evaluates the results of existing methods for analyzing the financial standing of banks. Results. The findings show that those methods that use only official reporting to assess the reliability of banks are not sufficient for short-term forecasting of financial stability. Ratings of the majority of agencies that rest on official reporting have a high percentage of erroneous results, therefore, rating agencies are not able to predict the regulator's decisions regarding a credit institution. Conclusions. Currently, there are no universal methods to determine reliability, which would provide a correct forecast of deteriorated financial position of the bank. It is important to use a systems approach, where financial reporting is not a key component.

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