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 theoret.

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Bibliographic Details

Title: Intelligent Algorithms
Publisher: Elsevier Science
Publication Date: 2024
Language: English
ISBN 10: 0443217580
ISBN 13: 9780443217586
Binding: Soft cover
Condition: New

About this title

Synopsis

Intelligent Algorithms: Theory and Practice discusses the latest achievements of the computation time analysis theory and practical applications of intelligent algorithms. In five chapters, the book covers (1) New methods of intelligent algorithm computation time analysis; (2)Application of intelligent algorithms in computer vision; (3) Application of intelligent algorithms in logistics scheduling; (4) Application of intelligent algorithms in software testing; and (5) Application of intelligent algorithm in multi-objective optimization.

The 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

About the Authors

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.

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.

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