Z
Zulkifli Md. Yusof
Researcher at Universiti Malaysia Pahang
Publications - 55
Citations - 488
Zulkifli Md. Yusof is an academic researcher from Universiti Malaysia Pahang. The author has contributed to research in topics: Particle swarm optimization & Multi-swarm optimization. The author has an hindex of 11, co-authored 54 publications receiving 425 citations. Previous affiliations of Zulkifli Md. Yusof include Universiti Teknologi Malaysia.
Papers
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Journal ArticleDOI
Characterisation of Drought Properties with Bivariate Copula Analysis
TL;DR: In this article, a joint distribution of drought severity and duration using a bivariate copula model is proposed and applied to daily rainfall data (1976-2007) of 30 rain gauge stations in Peninsular Malaysia.
Journal ArticleDOI
Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm
TL;DR: Experiments on underwater images captured under various conditions indicate that the proposed NUCE method produces better output image quality, while significantly overcoming other state-of-the-art methods.
Proceedings ArticleDOI
A Particle Swarm Optimization Approach to Robotic Drill Route Optimization
Asrul Adam,Amar Faiz Zainal Abidin,Zuwairie Ibrahim,Abdul Rashid Husain,Zulkifli Md. Yusof,Ismail Ibrahim +5 more
TL;DR: A new model that implements Particle Swarm Optimization (PSO) in order to find optimized routing path when using the PCB Robotic Drill is proposed and is capable to find the shortest path for the robot to complete its task.
Journal ArticleDOI
An Assembly Sequence Planning Approach with a Rule- Based Multi-State Gravitational Search Algorithm
Ismail Ibrahim,Zuwairie Ibrahim,Hamzah Ahmad,Mohd Falfazli Mat Jusof,Zulkifli Md. Yusof,Sophan Wahyudi Nawawi,Marizan Mubin +6 more
TL;DR: In this article, an approach based on a new variant of the GSA called the rule-based multi-state gravitational search algorithm (RBMSGSA) is used to solve the assembly sequence planning problem.
Journal Article
Angle Modulated Simulated Kalman Filter Algorithm for Combinatorial Optimization Problems
Zulkifli Md. Yusof,Zuwairie Ibrahim,Ismail Ibrahim,Kamil Zakwan Mohd Azmi,Nor Azlina Ab Aziz,Nor Hidayati Abd Aziz,Mohd Saberi Mohamad +6 more
TL;DR: The proposed angle modulated SKF (AMSKF) is compared against two other discrete population-based optimization algorithms, namely, binary particle swarm optimization (BPSO) and binary gravitational search algorithm (BGSA), and it is found that the proposed AMSKF is as competitive as BGSA but the BPSO is superior to the both AMSKFs.