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Hybrid Bacterial Foraging and Particle Swarm Optimization for detecting Bundle Branch Block

Padmavathi Kora, Sri Ramakrishna Kalva
2015 SpringerPlus  
Our present study comes up with a hybrid method combining two heuristic optimization methods: Bacterial Forging Optimization (BFO) and Particle Swarm Optimization (PSO) for the feature selection of ECG  ...  The hybrid technique: Bacterial Forging-Particle Swarm Optimization (BFPSO) incorporates the concepts from BFO and PSO and it creates individuals in a new generation.  ...  Acknowledgements The authors would like to thank the anonymous reviewers for their comments and suggestions that helped to improve the quality of this paper.  ... 
doi:10.1186/s40064-015-1240-z pmid:26361582 pmcid:PMC4559560 fatcat:phybbnet7ferrbuqepiveppypu

Detection of Bundle Branch Block using Adaptive Bacterial Foraging Optimization and Neural Network

Padmavthi Kora, Sri Rama Krishna Kalva
2017 Egyptian Informatics Journal  
Our current study involved is to diagnose this heart problem using Adaptive Bacterial Foraging Optimization (ABFO) Algorithm.  ...  A Bundle Branch Block (BBB) is a type of heart disease which occurs when there is an obstruction along the pathway of an electrical impulse.  ...  Probabilistic Neural Network (PNN) and Hybrid Bacterial Foraging and Particle Swarm Optimization (BFPSO) in terms of related features selected from the original database and classification accuracy obtained  ... 
doi:10.1016/j.eij.2016.04.004 fatcat:chfcvia6r5fxtey4svtk2v5xza

Hybrid firefly and Particle Swarm Optimization algorithm for the detection of Bundle Branch Block

Padmavathi Kora, K.Sri Rama Krishna
2016 International Journal of the Cardiovascular Academy  
This work proposes a technique for the detection of Bundle Branch Block (BBB) using hybrid Firefly and Particle Swarm Optimization (FFPSO) technique in combination with Levenberg Marquardt Neural Network  ...  Our present study comes up with a hybrid method combining the two meta-heuristic optimization methods, Firefly algorithm (FFA) and Particle Swarm Optimization (PSO), for feature optimization of ECG (BBB  ...  Some of the methods among all these are Genetic Algorithm (GA), 7 Particle Swarm Optimization (PSO), 6 Bacterial Foraging Optimization(BFO), 4, 5, 3 Firefly Algorithm (FFA) 13 etc.  ... 
doi:10.1016/j.ijcac.2015.12.001 fatcat:rp2xf2fravg43a3cdvzvidsihe


B. Thamaraichelvi, G. Yamuna.
2016 International Journal of Advanced Research  
Acknowledgement :- The authors are thankful to the Department of Radiology, Raja Muthaiya Medical College and Hospital (RMMCH), Annamalai University for providing us with the required data.  ...  of heart disease [14] .  ...  cluster centre using particle swarm optimization technique [5] .  ... 
doi:10.21474/ijar01/1544 fatcat:p6t4un2fjffudaojkjug664nwu

How can bee colony algorithm serve medicine?

Zeinab Salehahmadi, Amir Manafi
2014 World journal of plastic surgery  
The objective of this model was to identify valid novel, potentially useful, and understandable correlations and patterns in existing data.  ...  This review employs a thematic analysis of online series of academic papers to outline BCA in medical hive, reducing the response and computational time and optimizing the problems.  ...  CAD is the most common heart disease primarily cause mortality and morbidity in developed or developing countries.  ... 
pmid:25489530 pmcid:PMC4236990 fatcat:kkzikwlqxbhfzlt3brx4az6n7e

Recent Advances in Computer-Aided Medical Diagnosis Using Machine Learning Algorithms with Optimization Techniques

Taki Hasan Rafi, Raed M. Shubair, Faisal Farhan, Md. Ziaul Hoque, Farhan Mohd Quayyum
2021 IEEE Access  
On the other hand, a cleancut introduction on machine learning and theoretical outlook of widely utilized optimization techniques like genetic algorithm, gray wolf optimization, and particle swarm optimization  ...  We have highlighted some recent literatures, which exhibits the robust impact of optimizers and feature selection on machine learning techniques on medical data characterization.  ...  [46] proposed an optimal SVM based on bacterial foraging optimization (BFO) for the identification of Parkin-son Disease.  ... 
doi:10.1109/access.2021.3108892 fatcat:62bo2z7wvbbqjdujbumungozwy

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations [article]

Daniel Molina and Javier Poyatos and Javier Del Ser and Salvador García and Amir Hussain and Francisco Herrera
2020 arXiv   pre-print
Using these taxonomies we review more than three hundred publications dealing with nature-inspired and bio-inspired algorithms, and proposals falling within each of these categories are examined, leading  ...  In the last years the number of bio-inspired optimization approaches in literature has grown considerably, reaching unprecedented levels that dark the future prospects of this field of research.  ...  Acknowledgments This work was supported by grants from the Spanish Ministry of Science and the European Fund (FEDER) under projects TIN2016-81113R, and TIN2017-89517-P.  ... 
arXiv:2002.08136v2 fatcat:paeupscdt5hgzjtqzdtpcuucfq

Combining Support Vector Machine and Elephant Herding Optimization for Cardiac Arrhythmias [article]

Aboul Ella Hassanien, Moataz Kilany, Essam H. Houssein
2018 arXiv   pre-print
A prediction system for the early intervention and prevention of heart diseases, including cardiovascular diseases (CDVs) and arrhythmia, is important.  ...  The approach is based on the combination of swarm optimization algorithms with a modified PannTompkins algorithm (MPTA) and support vector machines (SVMs).  ...  In 6 , the MIT-BIH Arrhythmia database was tested using PSO, GA, BFO, and bacterial foraging-particle swarm optimization (BFPSO) with SVM.  ... 
arXiv:1806.08242v1 fatcat:qnpembps4jdwvno6cnwkywh4mm

A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

Yudong Zhang, Shuihua Wang, Genlin Ji
2015 Mathematical Problems in Engineering  
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used optimization techniques.  ...  search, and biogeography-based optimization), extensions (to multiobjective, constrained, discrete, and binary optimization), theoretical analysis (parameter selection and tuning, and convergence analysis  ...  [8] and Passino [9] proposed the bacterial foraging optimization (BFO), inspired by the group foraging behavior of bacteria such as E. coli and M. xanthus.  ... 
doi:10.1155/2015/931256 fatcat:ubc5eywnhzdjllxjaywe4czhnm

Improved adaptive neuro-fuzzy inference system based on modified glowworm swarm and differential evolution optimization algorithm for medical diagnosis

Kishore Balasubramanian, N. P. Ananthamoorthy
2020 Neural computing & applications (Print)  
Medical diagnosis has seen a tremendous advancement in the recent years due to the advent of modern and hybrid techniques that aid in screening and management of the disease.  ...  This paper figures a predictive model for detecting neurodegenerative diseases like glaucoma, Parkinson's disease and carcinogenic diseases like breast cancer.  ...  Compliance with ethical standards Conflict of interest Authors declare no conflict of interest and no funding is obtained related to this work.  ... 
doi:10.1007/s00521-020-05507-0 pmid:33250576 pmcid:PMC7684855 fatcat:lhs26tfnvzgyrb4e5cgqn5awiu

FAAD: A Self-Optimizing Algorithm for Anomaly Detection

Adeel Hashmi, Tanvir Ahmad
2019 ˜The œinternational Arab journal of information technology  
In this paper, the authors propose a self-optimizing algorithm for anomaly detection based on firefly meta-heuristic, and named as Firefly Algorithm for Anomaly Detection (FAAD).  ...  Experiments were conducted on various datasets, and the results show that the proposed solution is much accurate than the standard algorithms of anomaly detection.  ...  Algorithm Proposed by Year Ant Colony Optimization Dorigo, Di Caro 1992 Particle Swarm Optimization Kennedy, Eberhart, Shi 1995 Bacterial Foraging algorithm Passino 2002 Artificial Fish Swarm  ... 
doi:10.34028/iajit/17/2/16 fatcat:dxrwfmcgpnfs3cctsw3u4yxxhu

Soft Computing Based PID Controller Tuning and Application to the Pulp and Paper Industry

B. Nagaraj, P. Vijayakumar
2011 Sensors & Transducers  
This research comes up with a soft computing approach involving Genetic Algorithm, Evolutionary Programming, Particle Swarm Optimization and Bacterial foraging optimization.  ...  The results obtained reflect that use of heuristic algorithm based controller improves the performance of process in terms of time domain specifications, set point tracking and regulatory changes and also  ...  India, and Karpagam University, India. I would also like to acknowledge some of the people at TNPL: Shahul Hammed, Murali, Muthusamy and Sairam. It has been a great experience working with all of you.  ... 
doaj:63d254f82a154ae1bbc046481f89af99 fatcat:azejfuvqqvcxzofhrjxrp3rwue

Diagnosis and Classification of Brain Tumor

2019 International Journal of Engineering and Advanced Technology  
For early detection of extraordinary adjustments in tumor cells, Computer tomography, Magnetic resonance imaging strategies are used.  ...  Various imaging processing strategies had been proposed in latest couple of years for detection and class of brain tumor.  ...  They had used Chicken Swarm Optimization (CSO) set of rules to optimize the parameter values of the classifier and Particle swarm optimization (PSO) optimizer to maximise the classification accuracy.  ... 
doi:10.35940/ijeat.f8767.109119 fatcat:tz4o7wwpzfce3fypoho6j3mfc4

Emerging Applications of Bio-Inspired Algorithms in Image Segmentation

Souad Larabi-Marie-Sainte, Reham Alskireen, Sawsan Alhalawani
2021 Electronics  
This article collected the state-of-the-art studies presenting image-segmentation techniques combined with four bio-inspired algorithms including particle swarm optimization (PSO), genetic algorithms (  ...  GA), ant colony optimization (ACO), and artificial bee colonies (ABC).  ...  Acknowledgments: The authors would like to acknowledge the support of Prince Sultan University for paying the article processing charges (APC) of this publication.  ... 
doi:10.3390/electronics10243116 fatcat:iusw5vsfxnbbbb47erqpmqaavy

Swarm Intelligence Algorithms for Feature Selection: A Review

Lucija Brezočnik, Iztok Fister, Vili Podgorelec
2018 Applied Sciences  
It is gaining popularity in solving different optimization problems and has been used successfully for FS in some applications.  ...  The increasingly rapid creation, sharing and exchange of information nowadays put researchers and data scientists ahead of a challenging task of data analysis and extracting relevant information out of  ...  images has been improved through the hybridization of the Particle Swarm Optimization and Firefly (PSO-FF) algorithms.  ... 
doi:10.3390/app8091521 fatcat:oymef7dijzekhin4leripkmjje
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