Artificial Bee Colony Method with Guide-Based Adaptability for Traversing Areas of Search-Reference-Cited by-同舟云学术

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Artificial Bee Colony Method with Guide-Based Adaptability for Traversing Areas of Search

Published:2023-09-14 Issue: Volume: Page:
ISSN:
Container-title:2023 6th International Conference on Contemporary Computing and Informatics (IC3I)
language:
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Author:

Kolandaisamy Raenu¹,Rastogi Ajay²,Adhana Yatin³,Yuvaraj K.⁴,Kumar K. Sriram⁵,Birare Komal Madhukar⁶

Affiliation:

1. UCSI University,Kualampur,Malaysia

2. Teerthankar Mahaveer University,CCSIT,Moradabad,Uttar Pradesh,India

3. School of Basic Scieences & Technology, IIMT University,Meerut,Uttar Pradesh,India

4. Karpagam Academy of Higher Education,Department of Computer Science,Coimbatore,Tamilnadu,India

5. Karpagam Institute of Technology,Department of Information Technology,Coimbatore,Tamilnadu,India

6. Vishwakarma Institute of Information Technology,IT,Pune,Maharashtra,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10397581/10397594/10397604.pdf?arnumber=10397604

Reference25 articles.

1. A variable step-size incremental LMS solution for low SNR applications

2. A variable step-size incremental LMS solution for low SNR applications

3. A Complete Transient Analysis for the Incremental LMS Algorithm;Saeed;CoRR,2019

4. Research on Medical Brushless DC Motor Control Based on Fuzzy Adaptive Fractional-order PID;Long;Electric drive automation,2019

5. Maximization savings in distribution networks with optimal location of type-I distributed generator along with reconfiguration using PSO-DA optimization techniques

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