Handbook of AI-based metaheuristics / (Record no. 658770)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01891cam a2200265 i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780367753030 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780367755355 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 620.004 |
| Edition number | 23 |
| Item number | KUL |
| 245 00 - TITLE STATEMENT | |
| Title | Handbook of AI-based metaheuristics / |
| Statement of responsibility, etc | edited by Anand J. Kulkarni, Patrick Siarry. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xix, 398 pages ; |
| 490 0# - SERIES STATEMENT | |
| Series statement | Advances in metaheuristics |
| 500 ## - GENERAL NOTE | |
| General note | Includes works by Mohammed El-Abd and many others. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Socio-inspired methods -- Physics and chemistry-based methods -- Bio-inspired methods -- Swarm-based methods. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "At the heart of the optimization domain are mathematical modelling of the problem and the solution methodologies. In recent times, the problems are becoming larger, with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to Artificial Intelligence (AI) based nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications, as well as newly devised metaheuristic algorithms. The book will be a valuable reference to researchers from industry and academia, as well as Masters and PhD students around the globe working in the metaheuristics and applications domain"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Systems engineering |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Metaheuristics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Heuristic algorithms. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Mathematical optimization. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kulkarni, Anand Jayant, |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Siarry, Patrick, |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home Library | Current Location | Shelving location | Date acquired | Full call number | Accession Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Non-fiction | Dept. of Futures Studies | Dept. of Futures Studies | General Stacks | 28/09/2022 | 620.004 KUL | DFS4480 | 28/09/2022 | Book |