Particle Swarm Optimisation
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"Particle Swarm Optimisation" by Jun Sun, Choi-Hong Lai, Xiao-Jun Wu is a mathematics book and learning resource focused on Dynamics. Best for teachers, students, and readers looking for stronger mathematical understanding.
Helping readers numerically solve optimization problems, this book focuses on the fundamental principles and applications of PSO and QPSO algorithms. The authors develop their novel QPSO algorithm, a PSO variant motivated from quantum mechanics, and show how to implement it in real-world applications, including inverse problems, digital filter d
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"Particle Swarm Optimisation" by Jun Sun, Choi-Hong Lai, Xiao-Jun Wu is a mathematics book and learning resource focused on Dynamics. Best for teachers, students, and readers looking for stronger mathematical understanding.
Topic: Dynamics
Author: Jun Sun, Choi-Hong Lai, Xiao-Jun Wu
Who this is for:
- Teachers and classroom instructors
- Students building subject mastery
- Readers looking for practical learning support
Why this book matters: It stands out as a practical math resource that helps explain concepts, strengthen problem-solving, and support classroom or independent learning.
Helping readers numerically solve optimization problems, this book focuses on the fundamental principles and applications of PSO and QPSO algorithms. The authors develop their novel QPSO algorithm, a PSO variant motivated from quantum mechanics, and show how to implement it in real-world applications, including inverse problems, digital filter d
| Author | Jun Sun, Choi-Hong Lai, Xiao-Jun Wu |
| Publisher | CRC Press |
| Published | 2019-09-19 |
| ISBN-13 | 9780367381936 |
| Binding | Paperback |
| Language | English |
| Subjects | Mathematics | Number Systems ; Computers | Programming | Algorithms ; Science | Mechanics | General ; Mathematics | Arithmetic |
| Topic | Dynamics |
| Series | Chapman & Hall/CRC Numerical Analysis and Scientific Computi |
Format: Paperback
Language: English
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