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Mayfly in Harmony: A New Hybrid Meta-heuristic Feature Selection Algorithm

Trinav Bhattacharyya, Bitanu Chatterjee, Pawan Kumar Singh, Jin Hee Yoon, Zong Woo Geem, Ram Sarkar
2020 IEEE Access  
In this paper, the authors have presented a new feature selection algorithm called Mayfly-Harmony Search (MA-HS) based on two meta-heuristics namely Mayfly Algorithm and Harmony Search.  ...  This is the primary reason for proposing a hybrid of Mayfly Algorithm and Harmony Search.  ...  CONCLUSION AND FUTURE DIRECTION In this work, a novel meta-heuristic feature selection (FS) algorithm called Mayfly-Harmony Search (MA-HS) has been developed which is based on Mayfly Algorithm (MA) [15  ... 
doi:10.1109/access.2020.3031718 fatcat:ge5hputusrd5te4ajvyfvipaim

A Hybrid Meta-heuristic Feature Selection Method using Golden Ratio and Equilibrium Optimization Algorithms for Speech Emotion Recognition

Arijit Dey, Soham Chattopadhyay, Pawan Kumar Singh, Ali Ahmadian, Massimiliano Ferrara, Ram Sarkar
2020 IEEE Access  
To provide a less expensive computational model for emotion classification through speech analysis, we propose a meta-heuristic feature selection (FS) method using a hybrid of Golden Ratio Optimization  ...  The optimally selected features by the model are fed to the XGBoost classifier.  ...  We have designed a new hybrid meta-heuristic FS method named as GREO algorithm by combining GRO and EO algorithms, which has been used for SER from the audio signals.  ... 
doi:10.1109/access.2020.3035531 fatcat:23uwhxylyrat7o3tcifyyxgwbi

Covid-19 Detection by Optimizing Deep Residual Features with Improved Clustering-Based Golden Ratio Optimizer

Soham Chattopadhyay, Arijit Dey, Pawan Kumar Singh, Zong Woo Geem, Ram Sarkar
2021 Diagnostics  
Initially, we have extracted deep features from the image dataset and then introduced a completely novel meta-heuristic feature selection approach, named Clustering-based Golden Ratio Optimizer (CGRO).  ...  In this work, we have proposed a less expensive computational model for automatic COVID-19 detection from Chest X-ray and CT-scan images. Our paper has a two-fold contribution.  ...  Data Availability Statement: No new data were created or analyzed in this study. Data sharing is not applicable to this article.  ... 
doi:10.3390/diagnostics11020315 pmid:33671992 fatcat:hsskfn3yq5h2hb4kprpsjj25rq

An Effective Feature Selection Model Using Hybrid Metaheuristic Algorithms for IoT Intrusion Detection

Saif S. Kareem, Reham R. Mostafa, Fatma A. Hashim, Hazem M. El-Bakry
2022 Sensors  
This article presents a new FS method through boosting the performance of Gorilla Troops Optimizer (GTO) based on the algorithm for bird swarms (BSA).  ...  Feature selection (FS) approaches are required for the development of intelligent analytic tools that need data pretreatment and machine-learning algorithm-performance enhancement.  ...  [61] proposed combining the Mayfly Algorithm (MA) with a harmony search (HS).  ... 
doi:10.3390/s22041396 pmid:35214297 pmcid:PMC8962996 fatcat:744yhbby6zbxvb7bvwp75k2mpq

Generation of Synthetic Chest X-ray Images and Detection of COVID-19: A Deep Learning Based Approach

Yash Karbhari, Arpan Basu, Zong-Woo Geem, Gi-Tae Han, Ram Sarkar
2021 Diagnostics  
After that, we also performed feature selection using the Harmony Search (HS) algorithm, which reduces the number of features while retaining classification accuracy.  ...  COVID-19 is a disease caused by the SARS-CoV-2 virus. The COVID-19 virus spreads when a person comes into contact with an affected individual.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/diagnostics11050895 pmid:34069841 fatcat:g2hv3h6guba2tb5sqcx4qjimre

An Adaptive Fuzzy Symbiotic Organisms Search Algorithm and Its Applications

Nurul Asyikin Zainal, Saiful Azad, Kamal Z. Zamli
2020 IEEE Access  
Unlike an exact method, a heuristic method can find a good enough solution in polynomial time but does not guarantee optimality.  ...  new minimum value in the data set, and NewMaxa is the new maximum value in the dataset.  ... 
doi:10.1109/access.2020.3042196 fatcat:jundred2kfcgfibeexippishni

Control States and Complete Agent Architectures

Darryl N. Davis
2001 Computational intelligence  
If this new knowledge requires new types of representations, this will alter niche space in a more dramatic fashion.  ...  A mayfly fulfils a specific insect niche very effectively but makes an ineffective insect predator.  ...  What are the different learning algorithms necessary for the different levels within a complete agent?  ... 
doi:10.1111/0824-7935.00167 fatcat:5tgob2m5pzbd3bocq7iqtsl5ou