Handbook of moth-flame optimization algorithm : variants, hybrids, improvements, and applications /: variants, hybrids, improvements, and applications. (2022)
- Record Type:
- Book
- Title:
- Handbook of moth-flame optimization algorithm : variants, hybrids, improvements, and applications /: variants, hybrids, improvements, and applications. (2022)
- Main Title:
- Handbook of moth-flame optimization algorithm : variants, hybrids, improvements, and applications
- Further Information:
- Note: Edited by Seyedali Mirjalili.
- Editors:
- Mirjalili, Seyedali
- Contents:
- Section I Moth-Flame Optimization Algorithm for Different Optimization Problems Chapter 1 ◾ Optimization and Meta-heuristics Seyedali Mirjalili Chapter 2 ◾ Moth-Flame Optimization Algorithm for Feature Selection: A Review and Future Trends Qasem Al-Tashi, Seyedali Mirjalili, Jia Wu, Said Jadid Abdulkadir, Tareq M. Shami, Nima Khodadadi, and Alawi Alqushaibi Chapter 3 ◾ An Efficient Binary Moth-Flame Optimization Algorithm with Cauchy Mutation for Solving the Graph Coloring Problem Yass ine Meraihi, Asm a Benmess aoud Gabis, and Seyedali Mirjalili Chapter 4 ◾ Evolving Deep Neural Network by Customized Moth-Flame Optimization Algorithm for Underwater Targets Recognition Mohamm ad Khishe, Mokhtar Mohamm adi, Tarik A. Rashid, Hoger Mahmud, and Seyedali Mirjalili Section II Variants of Moth-Flame Optimization Algorithm Chapter 5 ◾ Multi-objective Moth-Flame Optimization Algorithm for Engineering Problems Nima Khodadadi, Seyed Mohamm ad Mirjalili, and Seyedali Mirjalili Chapter 6 ◾ Accelerating Optimization Using Vectorized Moth-Flame Optimizer (vMFO) AmirPouya Hemm asian, Kazem Meidani, Seyedali Mirjalili, and Amir Barati Farimani Chapter 7 ◾ A Modified Moth-Flame Optimization Algorithm for Image Segmentation Sanjoy Chakraborty, Sukanta Nama, Apu Kumar Saha, and Seyedali Mirjalili Chapter 8 ◾ Moth-Flame Optimization-Based Deep Feature Selection for Cardiovascular Disease Detection Using ECG Signal Arindam Majee, Shreya Bisw as, Somnath Chatterjee, Shibaprasad Sen, SeyedaliSection I Moth-Flame Optimization Algorithm for Different Optimization Problems Chapter 1 ◾ Optimization and Meta-heuristics Seyedali Mirjalili Chapter 2 ◾ Moth-Flame Optimization Algorithm for Feature Selection: A Review and Future Trends Qasem Al-Tashi, Seyedali Mirjalili, Jia Wu, Said Jadid Abdulkadir, Tareq M. Shami, Nima Khodadadi, and Alawi Alqushaibi Chapter 3 ◾ An Efficient Binary Moth-Flame Optimization Algorithm with Cauchy Mutation for Solving the Graph Coloring Problem Yass ine Meraihi, Asm a Benmess aoud Gabis, and Seyedali Mirjalili Chapter 4 ◾ Evolving Deep Neural Network by Customized Moth-Flame Optimization Algorithm for Underwater Targets Recognition Mohamm ad Khishe, Mokhtar Mohamm adi, Tarik A. Rashid, Hoger Mahmud, and Seyedali Mirjalili Section II Variants of Moth-Flame Optimization Algorithm Chapter 5 ◾ Multi-objective Moth-Flame Optimization Algorithm for Engineering Problems Nima Khodadadi, Seyed Mohamm ad Mirjalili, and Seyedali Mirjalili Chapter 6 ◾ Accelerating Optimization Using Vectorized Moth-Flame Optimizer (vMFO) AmirPouya Hemm asian, Kazem Meidani, Seyedali Mirjalili, and Amir Barati Farimani Chapter 7 ◾ A Modified Moth-Flame Optimization Algorithm for Image Segmentation Sanjoy Chakraborty, Sukanta Nama, Apu Kumar Saha, and Seyedali Mirjalili Chapter 8 ◾ Moth-Flame Optimization-Based Deep Feature Selection for Cardiovascular Disease Detection Using ECG Signal Arindam Majee, Shreya Bisw as, Somnath Chatterjee, Shibaprasad Sen, Seyedali Mirjalili, and Ram Sarkar Section III Hybrids and Improvements of Moth-Flame Optimization Algorithm Chapter 9 ◾ Hybrid Moth-Flame Optimization Algorithm with Slime Mold Algorithm for Global Optimization Sukanta Nama, Sanjoy Chakraborty, Apu Kumar Saha, and Seyedali Mirjalili Chapter 10 ◾ Hybrid Aquila Optimizer with Moth-Flame Optimization Algorithm for Global Optimization Laith Abualigah, Seyedali Mirjalili, Mohamed Abd Elaziz, Heming Jia, Canan Batur Şahin, Ala’ Khalifeh, and Amir H. Gandomi Chapter 11 ◾ Boosting Moth-Flame Optimization Algorithm by Arithmetic Optimization Algorithm for Data Clustering Laith Abualigah, Seyedali Mirjalili, Mohamm ed Otair, Putra Sumari, Mohamed Abd Elaziz, Heming Jia, and Amir H. Gandomi Section IV Applications of Moth-Flame Optimization Algorithm Chapter 12 ◾ Moth-Flame Optimization Algorithm, Arithmetic Optimization Algorithm, Aquila Optimizer, Gray Wolf Optimizer, and Sine Cosine Algorithm: A Comparative Analysis Using Multilevel Thresholding Image Segmentation Problems Laith Abualigah, Nada Khalil Al-Okbi, Seyedali Mirjalili, Mohamm ad Alshinwan, Husam Al Hamad, Ahmad M. Khasawneh, Waheeb Abu-Ulbeh, Mohamed Abd Elaziz, Heming Jia, and Amir H. Gandomi Chapter 13 ◾ Optimal Design of Truss Structures with Continuous Variable Using Moth-Flame Optimization Nima Khodadadi, Seyed Mohamm ad Mirjalili, and Seyedali Mirjalili Chapter 14 ◾ Deep Feature Selection Using Moth-Flame Optimization for Facial Expression Recognition from Thermal Images Ankan Bhattacharyya, Soumyajit Saha, Shibaprasad Sen, Seyedali Mirjalili, and Ram Sarkar Chapter 15 ◾ Design Optimization of Photonic Crystal Filter Using Moth-Flame Optimization Algorithm Seyed Mohamm ad Mirjalili, Somayeh Davar, Nima Khodadadi, and Seyedali Mirjalili … (more)
- Edition:
- 1st
- Publisher Details:
- Boca Raton : CRC Press
- Publication Date:
- 2022
- Extent:
- 1 online resource
- Subjects:
- 518.1
Nature-inspired algorithms
Artificial intelligence - Languages:
- English
- ISBNs:
- 9781000655674
9781000655605
9781003205326 - Related ISBNs:
- 9781032070919
- Notes:
- Note: Description based on CIP data; resource not viewed.
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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Physical Locations:
- British Library HMNTS - ELD.DS.709793
- Ingest File:
- 13_033.xml