Evolutionary optimization algorithms : Badar, Altaf Q. H.
Material type:
TextPublisher: CRC Press; 1st edition 2021Description: 261 illustrations ; 25 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9780367750541Subject(s): Evolutionary computation | Computer algorithms | Natural computation | MATHEMATICS / Discrete MathematicsDDC classification: 006.3 LOC classification: QA76.9.A43 | B33 2022Other classification: MAT008000 Summary: "This book is a clear and lucid presentation of Evolutionary Algorithms, with a straightforward, bottom-up approach that provides the reader with a firm grasp of the basic principles of EAs. Covering the theory, history, mathematics, and applications of evolutionary optimization algorithms, this timely and practical book offers lengthy examples, a companion website, MATLAB code, and a Solutions Manual--making it perfect for advanced undergraduates, graduates, and practicing engineers involved in engineering and computer science"-- Provided by publisher.Summary: "Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear (but theoretically rigorous) understanding of Evolutionary Algorithms, with an emphasis on implementation rather than models"-- Provided by publisher.
| Item type | Current library | Call number | Status | Date due | Barcode |
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Main Library | QA79.9.A43 .B33 2022 (Browse shelf (Opens below)) | Withdrawn | 51952000251323 | |
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Female Library | QA79.9.A43 .B33 2022 (Browse shelf (Opens below)) | Withdrawn | 51952000251316 |
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| QA76.75 .L329 2020 Agile project management for dummies 3e / <br> | QA76.754 .B37 2021 Software architecture in practice / | QA76.754 .B37 2021 Software architecture in practice / | QA79.9.A43 .B33 2022 Evolutionary optimization algorithms : | QA79.9.A43 .B33 2022 Evolutionary optimization algorithms : | QA273 .M63 2009 The Drunkard's walk : how randomness rules our lives / | QA273 .M63 2009 The Drunkard's walk : how randomness rules our lives / |
Includes bibliographical references (pages 685-726) and index.
"This book is a clear and lucid presentation of Evolutionary Algorithms, with a straightforward, bottom-up approach that provides the reader with a firm grasp of the basic principles of EAs. Covering the theory, history, mathematics, and applications of evolutionary optimization algorithms, this timely and practical book offers lengthy examples, a companion website, MATLAB code, and a Solutions Manual--making it perfect for advanced undergraduates, graduates, and practicing engineers involved in engineering and computer science"-- Provided by publisher.
"Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear (but theoretically rigorous) understanding of Evolutionary Algorithms, with an emphasis on implementation rather than models"-- Provided by publisher.
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