A review: Use of evolutionary algorithm for optimisation of machining parameters

• Main Authors: Zolpakar, N. A., Mohd Fuad, Yasak, Pathak, Sunil
• Format: Article
• Language: English; English
• Published: Springer-Verlag 2021
• Subjects: TJ Mechanical engineering and machinery; TL Motor vehicles. Aeronautics. Astronautics
• Online Access: http://umpir.ump.edu.my/id/eprint/33830/1/A%20review-use%20of%20evolutionary%20algorithm%20for%20optimisation.pdf; http://umpir.ump.edu.my/id/eprint/33830/2/A%20review-use%20of%20evolutionary%20algorithm%20for%20optimisation%20of%20machining%20parameters.pdf; http://umpir.ump.edu.my/id/eprint/33830/; https://doi.org/10.1007/s00170-021-07155-7; https://doi.org/10.1007/s00170-021-07155-7

Optimisation of machining parameters is crucial to ensure higher productivity and optimum outcomes in machining processes. By optimising machining parameters, a particular machining process can produce better machining outcomes within equivalent resources. This paper reviews past studies to achieve...