Handbook of AI-based metaheuristics /
Handbook of AI-based metaheuristics /
edited by Anand J. Kulkarni, Patrick Siarry.
- First edition.
- xix, 398 pages ;
- Advances in metaheuristics .
Includes works by Mohammed El-Abd and many others.
Includes bibliographical references and index.
Socio-inspired methods -- Physics and chemistry-based methods -- Bio-inspired methods -- Swarm-based methods.
"At the heart of the optimization domain are mathematical modelling of the problem and the solution methodologies. In recent times, the problems are becoming larger, 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, as well as newly devised metaheuristic algorithms. The book will be a valuable reference to researchers from industry and academia, as well as Masters and PhD students around the globe working in the metaheuristics and applications domain"--
9780367753030 9780367755355
Systems engineering
Artificial intelligence.
Metaheuristics.
Heuristic algorithms.
Mathematical optimization.
620.004 / KUL
Includes works by Mohammed El-Abd and many others.
Includes bibliographical references and index.
Socio-inspired methods -- Physics and chemistry-based methods -- Bio-inspired methods -- Swarm-based methods.
"At the heart of the optimization domain are mathematical modelling of the problem and the solution methodologies. In recent times, the problems are becoming larger, 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, as well as newly devised metaheuristic algorithms. The book will be a valuable reference to researchers from industry and academia, as well as Masters and PhD students around the globe working in the metaheuristics and applications domain"--
9780367753030 9780367755355
Systems engineering
Artificial intelligence.
Metaheuristics.
Heuristic algorithms.
Mathematical optimization.
620.004 / KUL