Application of Multi-objective Genetic Algorithm (MOGA) optimization in machining processes

• Main Authors: Nor Atiqah, Zolpakar, Lodhi, Swati Singh, Pathak, Sunil, Sharma, Mohita Anand
• Format: Book Chapter
• Language: English; English
• Published: Springer Nature 2020
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery; TK Electrical engineering. Electronics Nuclear engineering; TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/42586/1/Application%20of%20Multi-objective%20Genetic%20Algorithm%20%28MOGA%29.pdf; http://umpir.ump.edu.my/id/eprint/42586/2/Application%20of%20Multi-objective%20Genetic%20Algorithm%20%28MOGA%29%20optimization%20in%20machining%20processes_ABS.pdf; http://umpir.ump.edu.my/id/eprint/42586/; https://doi.org/10.1007/978-3-030-19638-7_8; https://doi.org/10.1007/978-3-030-19638-7_8

Multi-objectives Genetic Algorithm (MOGA) is one of many engineering optimization techniques, a guided random search method. It is suitable for solving multi-objective optimization related problems with the capability to explore the diverse regions of the solution space. Thus, it is possible to sear...