MARC Close
00000cam c22002058c 4500
000005153920
20251029103612
ta
251010s2025 us b 000c0 eng c
▼a 9781032770871
▼q hardback
▼a 9781041010470
▼q paperback
▼z 9781003612858
▼q ebook
▼a (KERIS)REF000020859163
▼a LBSOR
▼b eng
▼c LBSOR
▼d LBSOR
▼d DLC-MRC
▼e rda
▼d 211070
▼a pcc
▼a QA76.9.N37
▼a QA76.9.N37
▼b B219
▼a Nature-inspired metaheuristic algorithms :
▼b solving real world engineering problems /
▼d Sulabh Bansal,
▼e Aprna Tripathi,
▼e Shilpa Srivastava,
▼e Prem Prakash Vuppuluri
▼a 1st ed.
▼a Boca Raton FL :
▼b CRC Press,
▼c 2025
▼a 384 p. ;
▼c 24 cm
▼a Includes bibliographical references
▼a "The text comprehensively provides practical guidance for implementing nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex optimization problems. It will further demonstrate how nature-inspired metaheuristic algorithms have the potential to contribute to multiple United Nations sustainable development goals such as climate action, clean energy, and sustainable cities. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology"-- Provided by publisher
▼a Nature-inspired algorithms
▼a Metaheuristics
▼a Mathematical optimization
▼a Engineering mathematics
▼a Bansal, Sulabh,
▼e editor
▼a Srivastava, Shilpa,
▼e editor
▼a Vuppuluri, Prem Prakash,
▼e editor
▼b £165
▼a 단행본
| Data Type : | 단행본 |
|---|---|
| ISBN : | 9781032770871 |
| ISBN : | 9781041010470 |
| ISBN : | |
| Class No. : | QA76.9.N37 |
| Title/Author : | Nature-inspired metaheuristic algorithms : solving real world engineering problems / Sulabh Bansal, Aprna Tripathi, Shilpa Srivastava, Prem Prakash Vuppuluri |
| Edition : | 1st ed. |
| Imprint : | Boca Raton FL : CRC Press, 2025 |
| Format : | 384 p. ; 24 cm |
| Note : | Includes bibliographical references |
| 요약 : | "The text comprehensively provides practical guidance for implementing nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex optimization problems. It will further demonstrate how nature-inspired metaheuristic algorithms have the potential to contribute to multiple United Nations sustainable development goals such as climate action, clean energy, and sustainable cities. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology"-- Provided by publisher |
| General Subject Name : | Nature-inspired algorithms -- |
| General Subject Name : | Metaheuristics -- |
| General Subject Name : | Mathematical optimization -- |
| General Subject Name : | Engineering mathematics -- |
| Personal Author : | Bansal, Sulabh, editor |
| Personal Author : | Srivastava, Shilpa, editor |
| Personal Author : | Vuppuluri, Prem Prakash, editor |
| Language | English |
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