M
Muhammad Arif Abdul Rahim
Researcher at Universiti Teknologi Malaysia
Publications - 16
Citations - 707
Muhammad Arif Abdul Rahim is an academic researcher from Universiti Teknologi Malaysia. The author has contributed to research in topics: Electrical discharge machining & Machining. The author has an hindex of 6, co-authored 16 publications receiving 703 citations. Previous affiliations of Muhammad Arif Abdul Rahim include Universiti Tun Hussein Onn Malaysia & Carleton University.
Papers
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Journal ArticleDOI
Comparison Studies of Electrical Discharge Machining (EDM) Process Model for Low Gap Current
Azli Yahya,Trias Andromeda,Ade Erawan Minhat,Nor Hisham Haji Khamis,Kamal Kalil,Muhammad Arif Abdul Rahim +5 more
TL;DR: In this article, the authors compared a Dimensional Analysis (DA) model, an Artificial Neural Network (ANN) model and an experimental result for a low gap current of an Electrical Discharge Machining (EDM) process.
Proceedings ArticleDOI
A Fast Discrete Gravitational Search Algorithm
Hasrul Che Shamsudin,Addie Irawan,Zuwairie Ibrahim,Amar Faiz Zainal Abidin,Sophan Wahyudi,Muhammad Arif Abdul Rahim,Kamal Khalil +6 more
TL;DR: The experimental result shows that the proposed FDGSA converges faster compared to the BGSA, which is a variant of Gravitational Search Algorithm for discrete optimization problems, namely, Fast Discrete Gravitational search Algorithm.
Proceedings ArticleDOI
A Novel Multi-state Particle Swarm Optimization for Discrete Combinatorial Optimization Problems
Ismail Ibrahim,Zulkifli Md. Yusof,Sophan Wahyudi Nawawi,Muhammad Arif Abdul Rahim,Kamal Khalil,Hamzah Ahmad,Zuwairie Ibrahim +6 more
TL;DR: The experimental results show that the the proposed MSPSO algorithm consistently outperforms the BinPSO in solving the discrete combinatorial optimization problem.
Proceedings ArticleDOI
PID controller tuning by particle swarm optimization on electrical discharge machining servo control system
Trias Andromeda,Azli Yahya,Nor Hisham Haji Khamis,Ameruddin Baharom,Muhammad Arif Abdul Rahim +4 more
TL;DR: The main goal of this work is to get PID parameters through Particle Swarm Optimization (PSO) algorithm to ensure a stable, robust and controlled system.
Journal ArticleDOI
A Modified Gravitational Search Algorithm for Discrete Optimization Problem
Shahdan Sudin,Sophan Wahyudi Nawawi,Amar Faiz Zainal Abidin,Muhammad Arif Abdul Rahim,Kamal Khalil,Zuwairie Ibrahim,Zulkifli Md. Yusof +6 more
TL;DR: The experimental result shows that the FDGSA able to find better solutions and converges faster compared to the Binary Gravitational Search Algorithm.