| INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783662463086 |
| INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783662463086 |
| DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Call number |
006.3 MU LT |
| TITLE STATEMENT |
|---|
| Title |
Multi-objective Swarm Intelligence : |
| Subtitle |
theoretical advances and applications |
| Statement of responsibility, etc |
Edited by Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda. |
| PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication |
London : |
| Publisher |
Springer, |
| Date |
c2015. |
| PHYSICAL DESCRIPTION |
|---|
| Extent |
xiv, 201 p. ; |
| Other Details |
ill. ; |
| Size |
24 cm. |
| SERIES STATEMENT |
|---|
| Series statement |
Studies in Computational Intelligence, |
| International Standard Serial Number |
1860-949X ; |
| Volume number |
592 |
| CONTENTS |
|---|
| Contents |
Introduction -- Behavior of Bacterial Colony -- E.coli Bacterial Colonies -- Optimization based on E.coli Bacterial Colony -- Classification of BFO Algorithm -- Multi-objective optimization based on BF -- An overview of BFO Applications -- Conclusion. |
| SUMMARY |
|---|
| Summary |
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. |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical Heading |
Engineering |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical Heading |
Artificial intelligence |
| ADDED ENTRY |
|---|
| Name |
Dehuri, Satchidananda, |
| Role |
Edited by |
| ADDED ENTRY |
|---|
| Name |
Jagadev, Alok Kumar, |
| Role |
Edited by |
| ADDED ENTRY |
|---|
| Name |
Panda, Mrutyunjaya, |
| Role |
Edited by |
| ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
https://uowd.box.com/s/5tfcyofz1iagzl63whqgic1sfxmdzuij |
| Public note |
Location Map |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| -- |
780 |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| -- |
370 |
| ADDED ENTRY |
|---|
| -- |
39014 |
| ADDED ENTRY |
|---|
| -- |
39015 |
| ADDED ENTRY |
|---|
| -- |
39016 |