Handbook of AI-based Metaheuristics
Anand J. Kulkarni, Patrick Siarry, Anand J. Kulkarni, Patrick Siarry
- 398 pagine
- English
- ePUB (disponibile sull'app)
- Disponibile su iOS e Android
Handbook of AI-based Metaheuristics
Anand J. Kulkarni, Patrick Siarry, Anand J. Kulkarni, Patrick Siarry
Informazioni sul libro
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.
Thiswill be avaluable reference for researchers in industry and academia, as well as for all Master's and PhD students working in the metaheuristics and applications domains.