Nature-inspired optimizers : theories, literature reviews and applications /: theories, literature reviews and applications. ([2020])

• Record Type: Book
• Further Information: Note: Seyedali Mirjalili, Jin Song Dong, Andrew Lewis, editors.
• Editors: Mirjalili, Seyedali; Song Dong, Jin; Lewis, Andrew
• Contents: Preface.- Chapter 1. Introduction to Nature-inspired Algorithms.- Chapter 2. Ant Colony Optimizer: Theory, Literature Review, and Application in AUV Path Planning.-Chapter 3. Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Network.- Chapter 4. Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection.- Chapter 5. Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction etc.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2020
• Extent: 1 online resource (xvi, 238 pages), illustrations (some color)
• Subjects: 006.3/823; Evolutionary computation; Mathematical optimization; Electronic books
• Languages: English
• ISBNs: 9783030121273; 3030121275
• Related ISBNs: 9783030121266
• Notes: Note: Includes bibliographical references.; Note: Online resource; title from PDF title page (SpringerLink, viewed March 12, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.