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].
By Mathew Karvinkoppa, Tapano Kumar Hotta
April 15, 2022
The continuous miniaturization of integrated circuit (IC) chips and the increase in the sleekness of the design of the electronic components have led to the monotonic rise of volumetric heat generation in the electronic components. Hybrid Genetic Optimization for IC Chip Thermal Control: with ...
By Ishaan R. Kale, Anand J. Kulkarni
December 27, 2021
Mechanical Engineering domain problems are generally complex, consisting of different design variables and constraints. These problems may not be solved using gradient-based optimization techniques. The stochastic nature-inspired optimization techniques have been proposed in this book to ...
By Pritesh Shah, Ravi Sekhar, Anand J. Kulkarni, Patrick Siarry
September 29, 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...
By Anand J. Kulkarni, Patrick Siarry
September 02, 2021
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 ...