Hybrid grasshopper optimization algorithm with simulated annealing for feature selection using high dimensional dataset-Reference-Cited by-同舟云学术

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Hybrid grasshopper optimization algorithm with simulated annealing for feature selection using high dimensional dataset

Published:2023-01-23 Issue: Volume: Page:
ISSN:
Container-title:2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)
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Author:

Sahu Bibhuprasad¹,Ravindra Jvr²,Mohanty Sachi Nandan³,Panigrahi Amrutanshu⁴

Affiliation:

1. Vardhaman College of Engineering(Autonomous),Department of Artificial Intelligence and Data Science,Hyderabad,India

2. Vardhaman College of Engineering(Autonomous),Department of Electronics & Communication Engineering,Hyderabad,India

3. School of Computer Science & Engineering(SCOPE) VIT-AP,Amaravati,Andhra Pradesh,India

4. SOA (Deemed to be University),Department of Computer Science & Engineering,Bhubaneswar,Odisha

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10084917/10084937/10085104.pdf?arnumber=10085104

Reference30 articles.

1. Multiple Filter-Based Rankers to Guide Hybrid Grasshopper Optimization Algorithm and Simulated Annealing for Feature Selection With High Dimensional Multi-Class Imbalanced Datasets

2. A hybrid Harris Hawks optimization algorithm with simulated annealing for feature selection

3. Hybrid binary coot algorithm with simulated annealing for feature selection in high-dimensional microarray data;pashaei;Neural Computing and Applications,2022

4. Hybrid Multi-filter and Harmony Search Algorithm-Based Gene Selection Method for Cancer Classification

5. An Intelligence-Based Health Biomarker Identification System Using Microarray Analysis

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