This series delves into the topic of Metaheuristics and explores advancements in the area that will appeal to students, researchers, and professionals.
If you are interested in writing or editing a book for the series or would like more information, please contact Talitha Duncan-Todd, [email protected], or contact one of the Series Editors: Patrick Siarry at [email protected] and Anand Kulkarni at [email protected].
Handbook of AI-based Metaheuristics
Edited By Pritesh Shah, Ravi Sekhar, Anand J. Kulkarni, Patrick Siarry
September 20, 2021
Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuations...
Edited By Anand J. Kulkarni, Patrick Siarry
September 10, 2021
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 ...