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Improvement and Optimization of Feature Selection Algorithm in Swarm Intelligence Algorithm Based on Complexity

Bingsheng Chen, Huijie Chen, Mengshan Li, Zhihan Lv
2021 Complexity  
In order to verify the improvement effect of the feature selection algorithm based on the swarm intelligence algorithm on the data, this paper conducts experiments on six classes in the city's first middle  ...  The test results show that the improved algorithm has faster convergence speed and higher solution accuracy, and the feature selection algorithm based on swarm intelligence algorithm can effectively improve  ...  Acknowledgments is work was supported by the National Natural Science Foundation of China (Grant nos. 51663001, 52063002, and 42061067) and the science and technology research project of the Education  ... 
doi:10.1155/2021/9985185 fatcat:ewmisrqghbhhppuynj4rbby37u

A Survey on Sentiment Analysis using Swarm Intelligence

Akshi Kumar, Renu Khorwal, Shweta Chaudhary
2016 Indian Journal of Science and Technology  
Swarm Intelligence algorithms are used in feature subset selection for reducing feature subset dimensionality and computational complexity thereby increasing the classification accuracy.  ...  Swarm intelligence algorithms are extensively used in optimization problems. Optimization techniques could be applied to feature selection problem to produce Optimum feature set.  ...  Swarm algorithms improves the quality of solution by working in several iterations and application of knowledge of previous iteration on selection of current values.  ... 
doi:10.17485/ijst/2016/v9i39/100766 fatcat:ta242dgr6jfdxkzxd2o74rzfyi

Preface

Ying Tan, Yuhui Shi, Xin Yao
2021 Natural Computing  
Besides the research on improvements of algorithms, a number of important applications of swarm intelligence algorithms, including PSO, ACO, FWA, have been reported in a variety of fields.  ...  One of the most popular swarm intelligence algorithms is the Particle Swarm Optimization (PSO), which is inspired by the social behavior of bird flocking and has been widely used in real-parameter optimization  ... 
doi:10.1007/s11047-021-09850-6 fatcat:77rje65z3rdvvjd4pvxecf2wfe

An Advance Approach toward Sentiment Analysis using Swarm Intelligence

Miss. Riddhi Mandal
2021 International Journal for Research in Applied Science and Engineering Technology  
In this paper, we are presenting a sentiment analysis approach using Swarm Intelligence, which could be more beneficial in such tasks to solve the complex problem.  ...  Modernization is the key feature for the development of Society. With the timespan people are making growth with trends in technology.  ...  FEATURE SELECTION IN SWARM INTELLIGENCE By selecting the lower of the features of a multi-dimensional feature space, is a global concern, in order to optimize the number of reduced functions, and to eliminate  ... 
doi:10.22214/ijraset.2021.35228 fatcat:6mvdzp6ax5ekdlwonbfcvw7bo4

Swarm Intelligence in Data Science: Applications, Opportunities and Challenges [chapter]

Jian Yang, Liang Qu, Yang Shen, Yuhui Shi, Shi Cheng, Junfeng Zhao, Xiaolong Shen
2020 Lecture Notes in Computer Science  
The Swarm Intelligence (SI) algorithms have been proved to be a comprehensive method to solve complex optimization problems by simulating the emergence behaviors of biological swarms.  ...  Based on the summary of the existing works, this paper also analyzes the opportunities and challenges in this field, which attempts to shed some light on designing more effective algorithms to solve the  ...  Feature selection is a process of selecting an optimal subset of relevant features for use in model construction.  ... 
doi:10.1007/978-3-030-53956-6_1 fatcat:rwyvfcf3bvddnjflk4kzccbbki

Review of Swarm Intelligence-based Feature Selection Methods [article]

Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
2020 arXiv   pre-print
Moreover, in this paper, state-of-the-art swarm intelligence are studied, and the recent feature selection methods based on these algorithms are reviewed.  ...  Furthermore, the strengths and weaknesses of the different studied swarm intelligence-based feature selection methods are evaluated.  ...  In (Basir and Ahmad 2014) a comparison of swarm intelligence-based feature selection method is conducted.  ... 
arXiv:2008.04103v1 fatcat:ihnpdvvawvacjfxhultvaiu6su

Development of modified cooperative particle swarm optimization with inertia weight for feature selection

G. Samigulina, Zh. Massimkanova, Duc Pham
2020 Cogent Engineering  
The software "CPSOIW (Cooperative Particle Swarm Optimization with Inertia Weight)" based on a modified CPSOIW algorithm has been developed in Python programming language and is used to process a multidimensional  ...  The article presents a modified Cooperative Particle Swarm Optimization with Inertia Weight (CPSOIW) for Smart-technology of forecasting and control of complex objects.  ...  AP05130018 CS MES RK (2018-2020) on theme: Cognitive Smarttechnology design for intelligent complex objects control system based on artificial intelligence approaches.  ... 
doi:10.1080/23311916.2020.1788876 fatcat:pi5zxsmlfvfwzir3knwrq2liou

AN EFFECTIVE ARCHETYPE DESIGN OF HEART DISEASE ANTICIPATION USING OPTIMIZATION TECHNIQUES

Deepika P, Saranya S, Dr.Sasikala S
2019 EPRA international journal of research & development  
KEYWORDS: Data mining, Classification, Particle Swarm Optimization, Cardiovascular Disease(CVD).  ...  Heart Disease is one of the most prevalent diseases that can lead to reduce the life span of human beings now a days.  ...  Swarm Optimization with J48 Algorithm with Feature Selection Algorithm Improved Accuracy compared by without Feature Selection Results.  ... 
doi:10.36713/epra3747 fatcat:2eronako5zh55nhg6b4vlix6jm

An Effective Energy Management of Nodes in MANET based Swarm Intelligence with Feature Selection Methods

2019 International journal of recent technology and engineering  
A novel Swarm Intelligence and Feature selection methods are developed to new routing algorithm for managing high energy.  ...  To using Feature selection method is to find optimal route which from feasible route. This method is to improve the quality of MANET and find intrinsic properties of energy management.  ...  Swarm intelligent routing algorithm based on social nature of ant to context of ad hoc network.  ... 
doi:10.35940/ijrte.c4075.098319 fatcat:fnfd7n2s6ndxnmd5jlqzmero6u

Intelligent Feature Selection Methods: A Survey

Noor Jameel, Hasanen S. Abdullah
2021 Engineering and Technology Journal  
Consider feature selection is the main in intelligent algorithms and machine learning to select the subset of data to help acquire the optimal solution.  ...  Finally, it learning who is the advantage and disadvantage for each algorithms of swarm intelligent in feature selection.  ...  FEATURE SELECTION BASED ON SWARM INTELLIGENCE ALGORITHMS In this survey paper, as improvement techniques, the swarm insight calculations are utilizing to take care of highlight choice issues.  ... 
doi:10.30684/etj.v39i1b.1623 fatcat:zwxec6ev7fcnzmouubanmpncfm

Stochastic Local Search Algorithms for Feature Selection: A Review

Hayder Al-Behadili
2021 Iraqi Journal for Electrical And Electronic Engineering  
for such algorithms in future research of feature selection.  ...  Simulated annealing, tabu search, genetic programming, genetic algorithm, particle swarm optimization, artificial bee colony, grey wolf optimization, and bat algorithm, which have been used in feature  ...  ABC is one of the most recent optimization algorithms proposed by Dervis Karaboga in 2005; it is based on the intelligent foraging behavior of honeybees.  ... 
doi:10.37917/ijeee.17.1.1 fatcat:yz3uc4w3fbc6ffdmmfy2cvxx4y

Preface

Ying Tan, Yuhui Shi, Xin Yao
2017 Natural Computing  
Usually, the optimization process of a swarm intelligence algorithm is a heuristic and iterative search process by constantly generating, updating, and selecting solutions.  ...  The research objective of swarm intelligence algorithm is to design optimization algorithms with the ability of problem-solving by taking inspiration from the intelligent behavior exhibited in biological  ...  Besides the research on improvements of algorithms, a number of important applications of swarm intelligence algorithms, including PSO, have been reported in a variety of fields.  ... 
doi:10.1007/s11047-017-9616-3 fatcat:3do7iffhxresjfj2zwrb5hm4b4

Research Progress of Intelligent Optimization Algorithm in Big Data Background

DUO ZHANG
2017 DEStech Transactions on Computer Science and Engineering  
In this paper, several typical intelligent optimization algorithms are introduced, including genetic algorithm, particle swarm optimization algorithm, ant colony algorithm, artificial fish swarm algorithm  ...  Under the big data environment, the data scale, speed of emergence and its difficulty make optimizing issues very complex.  ...  coding, parameter selection and operator improvement, improvement based on biological behaviour and integrated optimization algorithm.  ... 
doi:10.12783/dtcse/aiea2017/14918 fatcat:6sz5sozmirbb3fxdu6q52tjewm

Optimization of Machine Learning Techniques on Autism Spectrum Disorder with Swarm Intelligence Based Feature Selection

2019 International journal of recent technology and engineering  
ASD occurs more frequently among children and in order to diagnose this with better accuracy, the study on binary firefly algorithm, a swarm intelligence based wrapper feature selection algorithm is used  ...  This paper is a study on the various machine learning algorithms in order to perform ASD (Autism spectrum Disorder) as per the DSM-V standards.  ...  Optimization of Machine Learning Techniques on Autism Spectrum Disorder with Swarm Intelligence Based Feature Selection A.  ... 
doi:10.35940/ijrte.b3529.078219 fatcat:r6qpwuh5wvemte4jwu6zhjoq5a

Guest Editorial on "Knowledge fusion intelligent optimization for complex systems"

Ling Wang, Feng Wang
2021 Complex & Intelligent Systems  
Intelligent optimization technique including evolutionary computation and swarm intelligence has been successfully applied to complex systems in a variety of engineering fields.  ...  Interdisciplinary methodologies may be given based on innovative intelligent optimization and knowledge engineering for complex systems.  ...  Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long  ... 
doi:10.1007/s40747-021-00394-x fatcat:gkjimn5nkjguzeekhzxxnvsnxu
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