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This book introduces the theory and applications of metaheuristic algorithms. It also provides methods for solving practical problems such as software engineering problems, image recognition problems, problems in video networks, and problems in the ocean.
List of contents
1. Introduction 2. Information Feedback Models (IFM) and Its Applications 3. Learning-Based Intelligent Optimization Algorithms 4. Dynamic Multi-objective Optimization 5. Multimodal Multi-objective Optimization 6. Neural Architecture Search 7. Fuzzing 8. Application of Intelligent Algorithms in the Ocean 9. Image processing
About the author
Gai-Ge Wang is currently a Professor with the Ocean University of China, Qingdao, China. His entire published works have been cited more 15,000 times (Google Scholar). The latest Google H-index and i10-index are 62 and 131, respectively. Of his 81 Highly Cited Papers, 15 were selected by Web of Science and 66 selected by Scopus. His research interests include swarm intelligence, evolutionary computation, and big data optimization.
Xiaoqi Zhao is currently working at Qingdao University of Technology, China. She graduated from Ocean University of China with a PhD degree and her main research interests are information security, fuzz testing and intelligent optimization.
Keqin Li is a SUNY Distinguished Professor (USA) and a National Distinguished Professor (China). He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow of the American Association for the Advancement of Science (AAAS), and a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA). He is a Member of Academia Europaea (Academician of the Academy of Europe).
Summary
This book introduces the theory and applications of metaheuristic algorithms. It also provides methods for solving practical problems such as software engineering problems, image recognition problems, problems in video networks, and problems in the ocean.
