eBook
Handbook of AI-based Metaheuristics
| Τίτλος: | Handbook of AI-based Metaheuristics |
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| Περιγραφή: | 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. |
| Συγγραφείς: | Anand J. Kulkarni, Patrick Siarry |
| Resource Type: | eBook. |
| Θέματα: | Artificial intelligence, Systems engineering--Data processing, Metaheuristics, Mathematical optimization, Heuristic algorithms |
| Categories: | MATHEMATICS / Optimization, COMPUTERS / Programming / Algorithms, TECHNOLOGY & ENGINEERING / Operations Research |
| Βάση Δεδομένων: | eBook Index |
| ISBN: | 9780367753030 9780367755355 9781000434248 9781000434255 9781003162841 |
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