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Intelligent Algorithms
Theory and Practice
- 1st Edition - May 25, 2024
- Authors: Han Huang, Zhifeng Hao
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 1 7 5 8 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 1 7 5 9 - 3
Intelligent Algorithms: Theory and Practice discusses the latest achievements of the computation time analysis theory and practical applications of intelligent algorithms. In fiv… Read more
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Request a sales quoteThe content of each chapter is supported by papers published in top journals. The book's authors introduce the work of each part, which mainly includes a brief introduction (mainly for readers to understand) and academic discussion (rigorous theoretical and experimental support), in a vivid and interesting way through excellent pictures and literary compositions. To help readers learn and make progress together, each part of this book provides relevant literature, code, experimental data, and so on.
- Integrates the theoretical analysis results of intelligent algorithms, which is convenient for the majority of researchers to deeply understand the theoretical analysis results of intelligent algorithms and further supplement and improve the theoretical research of intelligent algorithms
- Opens up readers' understanding of the theoretical level of intelligent algorithms and spreads the inherent charm of intelligent algorithms
- Integrates the diverse knowledge of society and provides a more comprehensive and scientific knowledge of intelligent algorithm theory
Those who are interested in research on intelligent algorithms can learn about the computation time analysis of intelligent algorithms using experimental statistics. They can also use this method to conduct computation time analysis of other algorithms. Besides, this book introduces the latest application achievements in multiple fields, including computer vision, logistics scheduling, software testing, and multi-objective optimization. It can help readers understand the research results of the above five research directions and obtain real experimental data as well as practical codes. As a supplementary text for graduate and undergraduate students who majored in courses related to intelligent algorithms
1.1 Accurately capture translucent visual effect -- based on pixel level multiobjective optimization sampling algorithm
1.2 "Strong Combination" of Fuzzy logic and evolutionary Computation
1.3 When medicine meets artificial intelligence -- another masterpiece of image matting algorithm application
1.4 "Deep learning + Image Matting Enhancement" -- efficient infrared pedestrian classification
2 Application of intelligent algorithms in logistics scheduling
2.1 Brief introduction to research progress
2.2 Scientific Principles
2.3 Chapter summary
3 Application of intelligent algorithms in software testing
3.1 How to solve the excessive cost of software testing -- starting from the ATCG problem
3.2 "Stochastic heuristic algorithm + dynamic multi-point search strategy" -- efficient NLP program test
4 Application of multiobjective optimization intelligent algorithm
4.1 High-dimensional multiobjective evolutionary algorithm based on adaptive reference points
4.2 An effective method to configure software products -- "Multiobjective Evolutionary Algorithm + Distribution Estimation"
5 A new method for time complexity analysis of intelligent algorithms
5.1 Brief introduction to research progress
5.2 Scientific principles
5.3 Chapter summary Reference
- No. of pages: 252
- Language: English
- Edition: 1
- Published: May 25, 2024
- Imprint: Elsevier
- Paperback ISBN: 9780443217586
- eBook ISBN: 9780443217593
HH
Han Huang
Dr. Huang is a professor and doctoral supervisor of the School of Software Engineering at South China University of Technology. He is currently serving as an associate editor of IEEE Transactions on Evolutionary Computation (IF: 14.3), Complex & Intelligent Systems (IF: 5.8) and IEEE Transactions on Emerging Topics in Computational Intelligence (IF: 5.3), and Director of Teaching Steering Committee for Software Engineering of Undergraduate Colleges and Universities in Guangdong Province. Prof. Huang has made great contributions to the scholarship on the theories and application of intelligent optimization algorithms. For example, he has proposed a time complexity analysis method of real-world evolutionary algorithms, algorithms for efficient and accurate image matting, a method for automated test case generation based on path coverage, etc. Prof. Huang has hosted more than twenty national and provincial projects. He has published two books, Theory and Practice of Intelligent algorithm and Theory, Methods and Tools for Time Complexity Analysis of Evolutionary Algorithm. He has also published more than 80 papers in IEEE TCYB, IEEE TETC, IEEE TSE, IEEE TEVC, IEEE TIP, IEEE TFS, and Science China, including ESI highly cited papers. As the first inventor, Prof. Huang has 47 invention patents granted in China and seven invention patents granted in the United States. He won China Patent Excellence Award and developed an association standard entitled “Standard for glass-box testing without source code” as the first completer. Additionally, Prof. Huang pays attention to social services. Over the past five years, he has given more than 50 public lectures on science and technology for government offices, primary and secondary schools, CCF, YOCSEF, media, etc. He has been in charge of the development and release of six public software systems such as Unit Test Algorithm Platform www.unittestpc.com.cn, Automatic Structural Equation Modeling System www.autosem.net, Evolutionary Algorithm Time Complexity Analysis System www.eatimecomplexity.net, and Energy Storage Optimization System http://energystorage.autosem.net, which have provided free technical service and support for lots of researchers and engineers.
ZH
Zhifeng Hao
Dr. Hao is a professor and doctoral supervisor of College of Science, Shantou University. He is currently the Vice Secretary of the Party Committee and President of Shantou University. He received the B.S. degree in mathematics from Sun Yat-sen University, Guangzhou, China, in 1990, and the Ph.D. degree in mathematics from Nanjing University, Nanjing, China, in 1995. He began to work in July 1995 and was promoted to professor in May 2000. He served as Dean of the School of Science of SCUT from March 2002, Deputy Director of the Management Committee of SCUT South Campus from May 2003, Executive Deputy Director of the Management Committee of SCUT South Campus from January 2008, Member of the Standing Committee of the Party Committee and Vice President of Guangdong University of Technology from November 2008, and Deputy Secretary of the Party Committee and President of Foshan University of Science and Technology from November 2015. He was appointed Deputy Secretary of the Party Committee and President of Shantou University in May 2021. At present, he is also the vice chairman of the College Mathematics Teaching Steering Committee of the Ministry of Education, the vice director of the Big Data and Artificial Intelligence Committee of the Chinese Society of Industrial and Applied Mathematics, the member of the Organizing Committee of the National College Student Mathematical Contest in Modeling, and the chairman of the Guangdong Supercomputer Application Industry Alliance. His main research interests include algebra and its applications, data science theory, artificial intelligence, mathematical modeling, etc. He has presided over more than 40 national, provincial and ministerial projects such as the National Key Research and Development Program and the National Natural Science Foundation-Guangdong Joint Fund Project. In recent years, he has published more than 80 papers in important domestic and international journals, such as TNNLS, TKDE, PR, Bioinformatics, and Science China. He has been awarded the second prize of the National Teaching Achievement Award (2005, 2009, 2018), the Guangdong Science and Technology Awards (first prize for 2016, second prize for 2014), the second prize of the Natural Science Award of Guangdong Province (2005), the second prize of the Natural Science Award of the Ministry of Education (2002), and the first prize of the Teaching Achievement Award of Guangdong Province (2001, 2005, 2009, 2014, 2018), the 10th Guangdong Youth May Fourth Medal, the 9th Guangdong Dingying Science and Technology Award, the China Patent Excellence Award (2019), “Leader of the 2020 Smart City Pioneer List”, the New Century Excellent Talents Support Plan, and “Guangdong Excellent Teacher” of Guangdong Province.