Handbook of AI-based metaheuristics

ISBN 10: 0367755351 / ISBN 13: 9780367755355

Editore: CRC Press, 2024

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pages cm First edition Includes works by Mohammed El-Abd and many others Includes bibliographical references and index.

Codice articolo 26397683616

Dati bibliografici

• Titolo: Handbook of AI-based metaheuristics
• Editore: CRC Press
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 0367755351
• ISBN 13: 9780367755355
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and 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; and newly devised metaheuristic algorithms.

This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Informazioni sull?autore

Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Créteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Systèmes Intelligents (LiSSi).

Anand J Kulkarni is Associate Professor at the Symbiosis Center for Research and Innovation, Symbiosis International (Deemed University).