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Kirjailija

Aniket Nargundkar

Kirjat ja teokset yhdessä paikassa: 2 kirjaa, julkaisuja vuosilta 2020–2021, suosituimpiin kuuluu Socio-Inspired Optimization Methods for Advanced Manufacturing Processes. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

2 kirjaa

Kirjojen julkaisuvuodet: 2020–2021.

Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

Apoorva Shastri; Aniket Nargundkar; Anand J. Kulkarni

SPRINGER VERLAG, SINGAPORE
2021
nidottu
This book discusses comprehensively the advanced manufacturing processes, including illustrative examples of the processes, mathematical modeling, and the need to optimize associated parameter problems. In addition, it describes in detail the cohort intelligence methodology and its variants along with illustrations, to help readers gain a better understanding of the framework. The theoretical and statistical rigor is validated by comparing the solutions with evolutionary algorithms, simulation annealing, response surface methodology, the firefly algorithm, and experimental work. Lastly, the book critically reviews several socio-inspired optimization methods.
Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

Apoorva Shastri; Aniket Nargundkar; Anand J. Kulkarni

Springer Verlag, Singapore
2020
sidottu
This book discusses comprehensively the advanced manufacturing processes, including illustrative examples of the processes, mathematical modeling, and the need to optimize associated parameter problems. In addition, it describes in detail the cohort intelligence methodology and its variants along with illustrations, to help readers gain a better understanding of the framework. The theoretical and statistical rigor is validated by comparing the solutions with evolutionary algorithms, simulation annealing, response surface methodology, the firefly algorithm, and experimental work. Lastly, the book critically reviews several socio-inspired optimization methods.