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Effective utilization of optimization algorithms on machining operations<br />

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Title Statement Effective utilization of optimization algorithms on machining operations<br />
 
Added Entry - Uncontrolled Name A, Arul Marcel Moshi; Department of Mechanical Engineering, National Engineering College, Kovilpatti, TamilNadu 628 503, India
S R, Sundara Bharathi; Department of Mechanical Engineering, National Engineering College, Kovilpatti, TamilNadu 628 503, India
 
Uncontrolled Index Term Optimization, Machining Processes, Fire-fly Algorithm (FA), Artificial Bee Colony (ABC) algorithm, Teacher learner based algorithm, Particle swam optimization technique
 
Summary, etc. Optimization is ruling the entire field of machining and material processing technology from the time at which the revolution took place in machining processes. Various types of machining algorithms have been developed so far for optimizing the independent control factors in order to get the improved results of desirable output responses. Each algorithm has its own special features which made them useful in deriving the optimized solutions under different conditions. Suitable algorithm is chosen for the required case depending upon the nature of the problem, the requirement of the order of precision and the availability of optimization tools. In this review article, the general flow of few important algorithms has been explained in a simpler manner to be understood by the recent researchers. Also, required numbers of case studies for each algorithm have been provided extensively. This consolidated work will surely be helpful for the new researchers those who have entered into the domain of optimization.
 
Publication, Distribution, Etc. Indian Journal of Engineering and Materials Sciences (IJEMS)
2022-07-08 17:18:18
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/IJEMS/article/view/46466
 
Data Source Entry Indian Journal of Engineering and Materials Sciences (IJEMS); ##issue.vol## 29, ##issue.no## 2 (2022): IJEMS-APRIL 2022
 
Language Note en
 
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