"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
The video book Seven Metaheuristics to Learn for your Next Data Science Project will assist you in easily and clearly understanding the seven most popular nature-based or metaheuristic algorithms. Additionally, 50 project ideas and 50 practice numbers are included. The Content of the book is as follows :
1. INTRODUCTION
1.1. Types of Metaheuristics
1.2. Applications in Data Science
1.3. Advantages and Limitations
1.4. Comparison with other optimization techniques
2. OVERVIEW OF METAHEURISTICS
2.1. Application of Metaheuristics
2.2. Application of Metaheuristics in Applied Fields
2.3. Classification of Metaheuristic Algorithms
2.4. Working Principle
2,5. Limitations of Metaheuristic Algorithms
2.5. Future Scopes of Metaheuristics
3. METHOD I: ARTIFICIAL NEURAL NETWORK OR ANN
4. METHOD II: POLYNOMIAL NEURAL NETWORK OR PNN
5. METHOD III: GLOW WORM ALGORITHM OR GWA
6. METHOD IV: MINE BLAST ALGORITHM OR MBA
7. METHOD V: WATER CYCLE ALGORITHM OR WCA
8. METHOD VI: DOLPHIN ECHOLOCATION ALGORITHM OR DEA
9. METHOD VII : GENETIC ALGORITHM OR GA
10. CONCLUSION
10.1. Project Ideas
10.2. Numerical Problems
The Project ideas and numerical problems are often updated.
Mrinmoy Majumder
Dr.Mrinmoy Majumder has been working as an Assistant Professor for the last 12 years at the National Institute of Technology Agartala which is located in the North East Indian state of Tripura. He is also the honorary and founding editor of HydroGeek Newsletter. He has also published in more than 50 SCI/Scopus-indexed journals and more than 10 books from reputed international publishers.
