Performance Test Functions of Genetic Algorithm

2013 ◽  
Vol 278-280 ◽  
pp. 1334-1337
Author(s):  
Wen Xia Yun ◽  
Yong Jie Ma ◽  
Ying Chen
Keyword(s):  
Genetic Algorithm ◽  
Performance Test ◽  
Research Direction ◽  
Test Functions ◽  
Selection Algorithm ◽  
Test Function ◽  
The Common ◽  
Test Algorithm ◽  
Performance Of Algorithm ◽  
Important Research Direction

Due to the disadvantages of genetic algorithm such as the weaker ability for local search, premature convergence, random walk and problems related, and so on , the design and improvement of the algorithm is an important research direction of genetic algorithm. And evaluating the performance of algorithm systematically and scientifically is the key to test algorithm whether good or bad .The common method used to evaluate algorithm is test function, however, the existing literature on the optimization algorithm has different methods to evaluate the performance of algorithm, and there is no uniform test criteria. As for those questions above, This paper studies test functions of genetic algorithm, and analyses characteristics of the main test functions, which can be used as the basis of selection algorithm test functions.

scholarly journals 2D and 3D Palmprint and Palm Vein Recognition Based on Neural Architecture Search

2021 ◽  
Author(s):  
Wei Jia ◽  
Wei Xia ◽  
Yang Zhao ◽  
Hai Min ◽  
Yan-Xiang Chen
Keyword(s):  
Deep Learning ◽  
Recognition Performance ◽  
Research Direction ◽  
Palmprint Recognition ◽  
Neural Architecture ◽  
Development Direction ◽  
Vein Recognition ◽  
Palm Vein ◽  
2D And 3D ◽  
Important Research Direction

AbstractPalmprint recognition and palm vein recognition are two emerging biometrics technologies. In the past two decades, many traditional methods have been proposed for palmprint recognition and palm vein recognition and have achieved impressive results. In recent years, in the field of artificial intelligence, deep learning has gradually become the mainstream recognition technology because of its excellent recognition performance. Some researchers have tried to use convolutional neural networks (CNNs) for palmprint recognition and palm vein recognition. However, the architectures of these CNNs have mostly been developed manually by human experts, which is a time-consuming and error-prone process. In order to overcome some shortcomings of manually designed CNN, neural architecture search (NAS) technology has become an important research direction of deep learning. The significance of NAS is to solve the deep learning model’s parameter adjustment problem, which is a cross-study combining optimization and machine learning. NAS technology represents the future development direction of deep learning. However, up to now, NAS technology has not been well studied for palmprint recognition and palm vein recognition. In this paper, in order to investigate the problem of NAS-based 2D and 3D palmprint recognition and palm vein recognition in-depth, we conduct a performance evaluation of twenty representative NAS methods on five 2D palmprint databases, two palm vein databases, and one 3D palmprint database. Experimental results show that some NAS methods can achieve promising recognition results. Remarkably, among different evaluated NAS methods, ProxylessNAS achieves the best recognition performance.

Towards effective link prediction: A hybrid similarity model

2020 ◽  
pp. 1-14
Author(s):  
Longjie Li ◽  
Lu Wang ◽  
Hongsheng Luo ◽  
Xiaoyun Chen
Keyword(s):  
Link Prediction ◽  
Structural Similarity ◽  
Research Direction ◽  
Structural Features ◽  
Proposed Model ◽  
Similarity Model ◽  
Weight Calculation ◽  
Stable Performance ◽  
Grey Relation ◽  
Important Research Direction

Link prediction is an important research direction in complex network analysis and has drawn increasing attention from researchers in various fields. So far, a plethora of structural similarity-based methods have been proposed to solve the link prediction problem. To achieve stable performance on different networks, this paper proposes a hybrid similarity model to conduct link prediction. In the proposed model, the Grey Relation Analysis (GRA) approach is employed to integrate four carefully selected similarity indexes, which are designed according to different structural features. In addition, to adaptively estimate the weight for each index based on the observed network structures, a new weight calculation method is presented by considering the distribution of similarity scores. Due to taking separate similarity indexes into account, the proposed method is applicable to multiple different types of network. Experimental results show that the proposed method outperforms other prediction methods in terms of accuracy and stableness on 10 benchmark networks.

Preparation and Properties of Alginate Fibre

2011 ◽  
Vol 335-336 ◽  
pp. 419-422 ◽  
Author(s):  
Yuan Lian ◽  
Jian Yi Wu ◽  
Da Peng Zhou ◽  
Hong Mei Wang ◽  
Dian Wu Huang ◽  
...  
Keyword(s):  
Research Direction ◽  
Biological Properties ◽  
Wet Spinning ◽  
Structure And Properties ◽  
Important Research ◽  
Preparation Technology ◽  
Thermal Gravimetric Analyzer ◽  
Infrared Spectrometer ◽  
Medical Materials ◽  
Important Research Direction

Alginate fibre has attracted great attention in the area of biological medical materials due to its unique biological properties. But its low tenacity greatly hinders its application area. Therefore, the preparation technology of alginate fibre has been as an important research direction in this area in recent years. The purpose of this article is to prepare the calcium alginate fibre with good properties by wet spinning. The structure and properties of this fibre are analyzed by scanning electron microscope，infrared spectrometer，thermal gravimetric analyzer and DSC.

The Optimal Design on Connection Order of Network in Hydraulic Manifold Block

2011 ◽  
Vol 201-203 ◽  
pp. 2190-2194
Author(s):  
Jun Jun Zhang ◽  
Ji Sheng Wang ◽  
Jiang Yong Wang ◽  
Gang Liu ◽  
Jie Wang
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Genetic Manipulation ◽  
Optimal Algorithm ◽  
Single Point ◽  
Adaptive Mutation ◽  
Gene Encoding ◽  
Mutation Strategy ◽  
The Common

As one of the important questions in the design of hydraulic manifold block — connection order of network, give a solution based on genetic algorithm. Genetic algorithm is the common effective intelligent optimal algorithm and suitable for solving a large combinatorial optimal problems. Gene encoding of ordinal representation, single-point crossover strategy and adaptive mutation strategy are used in the design of genetic manipulation.

scholarly journals Desain Bilik Sterilisasi "White Box"

2021 ◽  
Vol 17 (1) ◽  
pp. 68-75
Author(s):  
Noor Hamidah ◽  
Dwi Anung Nindito ◽  
Tatau Wijaya Garib ◽  
Waluyo Nuswantoro ◽  
Mahdi Santoso
Keyword(s):  
Performance Test ◽  
Design Method ◽  
Skin Surface ◽  
The Body ◽  
Piping System ◽  
Design Activity ◽  
Test Function ◽  
Function Test ◽  
And Performance ◽  
Implementation Stage

ABSTRACT The sterilization chamber is designed to sterilize the body using a filler formulation that is not harmful to the skin surface. Formulation, namely the composition of filler fluids (type, dose and amount) using substances that are safe for the body accordingly, certainly provides benefits. The use of the sterilization booth uses the correct and safe filling fluid. The sterilization chamber uses a mist nozzle sprayer (with the appropriate discharge) to spray the filling liquid so that the user is safe. This sterilization booth is named "White Box". This "White Box" research aims to design (functional and structural) and test (function test and performance test) on a system and mechanism for condensing the condensation of a humidifier that can fill the sterilization room optimally. The design method of the "White Box" sterilization booth uses a qualitative method with the following phases: (1) The preparation stage, namely the functional design and the structural design of the "White Box"; (2) The implementation stage is analyzing the use of tools and materials and making sterilization booths; (3) Post-implementation stage, namely testing the sterilization chamber, including the function test and performance test of the sterilization chamber. The design activity of the "White Box" sterilization booth was carried out by testing various variations of the prototype, including variations in the dimensions of the distribution pipe, the shape of the distribution pipe, and variations of the piping system. The validation process includes: (1) The diameter of the pipe against humidifier dew bursts; (2) The shape of the piping against humidifier dew spray; and (3) the length of the pipe passage to the humidifier dew spray. ABSTRAKBilik sterilisasi didesain untuk mensterilisasi tubuh dengan menggunakan formulasi zat pengisi yang tidak berbahaya bagi permukaan kulit. Formulasi yaitu komposisi cairan pengisi (jenis, takaran dan jumlah) menggunakan zat yang aman bagi tubuh yang sesuai, tentu memberi manfaat. Penggunaan bilik sterilisasi menggunakan cairan pengisi yang benar dan aman. Bilik sterilisasi menggunakan mist nozzle sprayer (yang debitnya sesuai) untuk menyemprotkan cairan pengisinya sehingga pengguna aman. Bilik sterilisasi ini diberi nama "White Box". Penelitian "White Box"ini bertujuan merancang (fungsional dan struktural) dan menguji coba (uji fungsi dan uji kinerja) pada sebuah sistem dan mekanisme penyaluran pengembunan dari alat humidifier yang mampu memenuhi ruang bilik sterilisasi secara optimal. Metode rancang bangun bilik sterilisasi "White Box" menggunakan metode kualitatif dengan tahap kegiatan meliputi: (1) Tahap persiapan yaitu rancangan fungsional dan rancangan struktural"White Box"; (2) Tahap pelaksanaan yaitu analisa penggunaan alat dan bahan dan Pembuatan bilik sterilisasi; (3) Tahap Pasca Pelaksanaan yaitu pengujian bilik sterilisasi antara lain uji fungsi dan uji kinerja bilik sterilisasi. Muatan kegiatan rancang bangun bilik sterilisasi "White Box" dilakukan dengan cara menguji coba berbagai variasi prototipe, meliputi variasi dimensi pipa penyaluran, bentuk pipa penyalur, variasi sistem perpipaan. Proses validasi yang dilakukan meliputi: (1) Diamater pipa terhadap semburan embun humidifier; (2) Bentuk pipa penyalur terhadap semburan embun humidifier; dan (3) Panjang lintasan pipa terhadap semburan embun humidifier.

COMPARING MINIMUM NEIGHBORHOOD EVALUATION SCHEMES FOR FINDING SPATIALLY ROBUST SOLUTIONS

2007 ◽  
Vol 17 (03) ◽  
pp. 299-309
Author(s):  
GRZEGORZ DRZADZEWSKI ◽  
MARK WINEBERG
Keyword(s):  
Genetic Algorithm ◽  
Fitness Function ◽  
Operational Definition ◽  
Significant Drop ◽  
Robust Solutions ◽  
Common Definition ◽  
Solution Robustness ◽  
The Common

The common definition for robust solutions considers a solution robust if it remains optimal when the parameters defining the fitness function are perturbed. A second definition that can be found in the literature: robustness occurs when a solution can be varied spatially without a significant drop in fitness. We propose an alternative operational definition for spatial robustness: both the solution and the neighbourhood around the solution has fitness above a given threshold. With this new definition, we created a set of functions with useful properties to allow for the testing of solution robustness. The performance of a Genetic Algorithm (GA) is then evaluated based on its ability to identify multiple robust solutions based on the above robustness definition. Different neighbourhood evaluation schemes are identified from the literature and compared, with the minimum neighbour technique proving to be the most effective.

Reliability of nonrepairable phased-mission systems with common bus performance sharing

2018 ◽  
Vol 232 (6) ◽  
pp. 647-660 ◽  
Author(s):  
Huan Yu ◽  
Jun Yang ◽  
Yu Zhao
Keyword(s):  
Genetic Algorithm ◽  
Reliability Analysis ◽  
Evaluation Method ◽  
Optimal Allocation ◽  
Recursive Algorithm ◽  
Entire System ◽  
Allocation Algorithm ◽  
Proposed Model ◽  
The Common ◽  
Multi Phase

This article considers the reliability analysis of phased-mission systems with common bus performance sharing. The whole system consists of client nodes, service elements, and a common bus redistribution system and it undertakes a multi-phase mission. In each phase, the service elements must satisfy the demands of the prespecified client nodes set. The service elements can share their surplus performance with other client nodes through the common bus. In any phase, the system fails if the demands of the prespecified client nodes set are not satisfied. In other words, the entire system succeeds if the demands of the prespecified client nodes set are satisfied in all phases. The reliability of the proposed model is analyzed by the backward recursive algorithm. The optimal allocation problem is solved by the genetic algorithm. Two examples are presented to demonstrate the proposed reliability evaluation method and optimal allocation algorithm.

Air quality management using genetic algorithm based heuristic fuzzy time series model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lalit Bhagat ◽  
Gunjan Goyal ◽  
Dinesh C.S. Bisht ◽  
Mangey Ram ◽  
Yigit Kazancoglu
Keyword(s):  
Genetic Algorithm ◽  
Air Pollution ◽  
Time Series ◽  
Air Quality ◽  
Quality Management ◽  
Fuzzy Time Series ◽  
Selection Algorithm ◽  
Content Type ◽  
Proposed Model ◽  
Adaptive Time

PurposeThe purpose of this paper is to provide a better method for quality management to maintain an essential level of quality in different fields like product quality, service quality, air quality, etc.Design/methodology/approachIn this paper, a hybrid adaptive time-variant fuzzy time series (FTS) model with genetic algorithm (GA) has been applied to predict the air pollution index. Fuzzification of data is optimized by GAs. Heuristic value selection algorithm is used for selecting the window size. Two algorithms are proposed for forecasting. First algorithm is used in training phase to compute forecasted values according to the heuristic value selection algorithm. Thus, obtained sequence of heuristics is used for second algorithm in which forecasted values are selected with the help of defined rules.FindingsThe proposed model is able to predict AQI more accurately when an appropriate heuristic value is chosen for the FTS model. It is tested and evaluated on real time air pollution data of two popular tourism cities of India. In the experimental results, it is observed that the proposed model performs better than the existing models.Practical implicationsThe management and prediction of air quality have become essential in our day-to-day life because air quality affects not only the health of human beings but also the health of monuments. This research predicts the air quality index (AQI) of a place.Originality/valueThe proposed method is an improved version of the adaptive time-variant FTS model. Further, a nature-inspired algorithm has been integrated for the selection and optimization of fuzzy intervals.

A Study of Contemporary System Performance Testing Framework

2018 ◽  
pp. 7563-7576
Author(s):  
Alex Ng ◽  
Shiping Chen
Keyword(s):  
System Performance ◽  
Large Scale ◽  
Performance Test ◽  
Performance Testing ◽  
General Purpose ◽  
Testing Framework ◽  
The Core ◽  
Application Logic ◽  
The Common ◽  
Whole Life Cycle

Performance testing is one of the vital activities spanning the whole life cycle of software engineering. As a result, there are a considerable number of performance testing products and open source tools available. It has been observed that most of the existing performance testing products and tools are either too expensive and complicated for small projects, or too specific and simple for diverse performance tests. In this chapter, we will present an overview of existing performance test products/tools, provide a summary of some of the contemporary system performance testing frameworks, and capture the key requirements for a general-purpose performance testing framework. Based on our previous works, we propose a system performance testing framework which is suitable for both simple and small, as well as complicated and large-scale performance testing projects. The core of our framework contains an abstraction to facilitate performance testing by separating the application logic from the common performance testing functionality, and a set of general-purpose data model.

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