In this book, the latest achievements of the computation time analysis theory and practical applications of intelligent algorithms are set out. There are five chapters: (1) new method 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 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.
1. Introduction - p. Page xi 2. List of Illustrations - p. Page xiii 3. List of Tables - p. Page xiv 4. Chapter 1 : Application of intelligent algorithms in the field of computer vision - p. Page xiv 5. Chapter 2 : Application of intelligent algorithms in the field of logistics planning - p. Page 104 6. Chapter 3 : Application of intelligent algorithms in the field of software testing - p. Page 121 7. Chapter 4 : Application of multiobjective optimization intelligence algorithms - p. Page 142 8. Chapter 5 : A new approach to intelligent algorithms for running time complexity analysis - p. Page 192 9. Index - p. Page 222
In this book, the latest achievements of the computation time analysis theory and practical applications of intelligent algorithms are set out. There are five chapters: (1) new method 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 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.
1. Introduction - p. Page xi 2. List of Illustrations - p. Page xiii 3. List of Tables - p. Page xiv 4. Chapter 1 : Application of intelligent algorithms in the field of computer vision - p. Page xiv 5. Chapter 2 : Application of intelligent algorithms in the field of logistics planning - p. Page 104 6. Chapter 3 : Application of intelligent algorithms in the field of software testing - p. Page 121 7. Chapter 4 : Application of multiobjective optimization intelligence algorithms - p. Page 142 8. Chapter 5 : A new approach to intelligent algorithms for running time complexity analysis - p. Page 192 9. Index - p. Page 222
