Parameters optimization of surface grinding process with particles swarm optimization, gravitational search, and sine cosine algorithms: a comparative analysis
The selection of parameters in grinding process remains as a crucial role to guarantee that the machined product quality is at the minimum production cost and maximum production rate. Therefore, it is required to utilize more advance and effective optimization methods to obtain the optimum parameter...
Main Author: | Asrul, Adam |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
Universiti Malaysia Pahang
2018
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/24439/1/99.%20Parameters%20optimization%20of%20surface%20grinding%20process%20with%20particles.pdf http://umpir.ump.edu.my/id/eprint/24439/2/99.1%20Parameters%20optimization%20of%20surface%20grinding%20process%20with%20particles.pdf |
Similar Items
-
Adaptive sine-cosine algorithms for global optimization
by: Mohd Falfazli, Mat Jusof, et al.
Published: (2018) -
Spiral sine-cosine algorithm for global optimization
by: Nurul Amira, Mhd Rizal, et al.
Published: (2019) -
Performance evaluation of Black Hole Algorithm, Gravitational Search Algorithm and Particle Swarm Optimization
by: Zuwairie, Ibrahim, et al.
Published: (2015) -
Is gravitational search algorithm's initial gravitational constant a function dependent parameter?
by: Nor Azlina, Ab. Aziz Nor, et al.
Published: (2018) -
Exponentially adaptive sine-cosine algorithm for global optimization
by: Mohd Falfazli, Mat Jusof, et al.
Published: (2019)