Genetic algorithm essentials. (2017)

• Record Type: Book
• Further Information: Note: Oliver Kramer.
• Authors: Kramer, Oliver
• Contents: Part I: Foundations -- Introduction -- Genetic Algorithms -- Parameters -- Part II: Solution Spaces -- Multimodality -- Constraints -- Multiple Objectives -- Part III: Advanced Concepts -- Theory -- Machine Learning -- Applications -- Part IV: Ending -- Summary and Outlook -- Index -- References.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2017
• Extent: 1 online resource (ix, 92 pages), color illustrations
• Subjects: 519.6/25; Engineering; Genetic algorithms; Genetic algorithms; Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics); Computers -- Intelligence (AI) & Semantics; Artificial intelligence; Artificial intelligence; Electronic books
• Languages: English
• ISBNs: 9783319521565; 3319521551; 9783319521558
• Related ISBNs: 331952156X; 9783319521558
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (SpringerLink, viewed January 19, 2017).
• 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.