Multi-objective Swarm Intelligence: Theoretical Advances and Applications
The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is present...
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2015
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oai:scholar.dlu.edu.vn:DLU123456789-582762023-11-11T06:06:38Z Multi-objective Swarm Intelligence: Theoretical Advances and Applications Dehuri, Satchidananda Jagadev, Alok Kumar Panda, Mrutyunjaya Engineering Mathematical optimization Swarm intelligence The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO. 2015-09-15T07:17:27Z 2015-09-15T07:17:27Z 2015 Book 978-3-662-46309-3 978-3-662-46308-6 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58276 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
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Thư viện số |
| language |
English |
| topic |
Engineering Mathematical optimization Swarm intelligence |
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Engineering Mathematical optimization Swarm intelligence Dehuri, Satchidananda Jagadev, Alok Kumar Panda, Mrutyunjaya Multi-objective Swarm Intelligence: Theoretical Advances and Applications |
| description |
The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO. |
| format |
Book |
| author |
Dehuri, Satchidananda Jagadev, Alok Kumar Panda, Mrutyunjaya |
| author_facet |
Dehuri, Satchidananda Jagadev, Alok Kumar Panda, Mrutyunjaya |
| author_sort |
Dehuri, Satchidananda |
| title |
Multi-objective Swarm Intelligence:
Theoretical Advances and Applications |
| title_short |
Multi-objective Swarm Intelligence:
Theoretical Advances and Applications |
| title_full |
Multi-objective Swarm Intelligence:
Theoretical Advances and Applications |
| title_fullStr |
Multi-objective Swarm Intelligence:
Theoretical Advances and Applications |
| title_full_unstemmed |
Multi-objective Swarm Intelligence:
Theoretical Advances and Applications |
| title_sort |
multi-objective swarm intelligence:
theoretical advances and applications |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58276 |
| _version_ |
1819830205173202944 |