Pauline Ong
Universiti Tun Hussein Onn Malaysia
79 Papers
156 Citations
Pauline Ong is an academic researcher from Universiti Tun Hussein Onn Malaysia. The author has contributed to research in topics: Computer science & Metaheuristic. The author has an hindex of 13, co-authored 66 publications. Previous affiliations of Pauline Ong include National Taiwan University & Universiti Sains Malaysia.
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Papers
Solving the optimal path planning of a mobile robot using improved Q-learning
TL;DR: Experimental evaluation of the proposed improved Q- learning under the challenging environment with a different layout of obstacles shows that the convergence of Q-learning can be accelerated when Q-values are initialized appropriately using the FPA.
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Optimizing wavelet neural networks using modified cuckoo search for multi-step ahead chaotic time series prediction
Pauline Ong,Zarita Zainuddin +1 more
TL;DR: A novel strategy known as the modified cuckoo search algorithm (MCSA), is proposed for WNNs initialization in order to improve its generalization performance and its superior prediction accuracy compared with that of conventional Wnns demonstrates its potential benefit.
100
A carnivorous plant algorithm for solving global optimization problems
TL;DR: A novel metaheuristic algorithm, namely, carnivorous plant algorithm (CPA), inspired by how the carnivorous plants adapting to survive in the harsh environment, was proposed, with the superiority was validated using the Wilcoxon signed-rank test.
100
Tool condition monitoring in CNC end milling using wavelet neural network based on machine vision
TL;DR: This study investigates the application of a special variant of artificial neural networks, in particular, wavelet neural network (WNN) for tool wear monitoring in CNC end milling process of high-speed steel to predict the degree of tool wear most accurately.
100
Adaptive Cuckoo Search Algorithm for Unconstrained Optimization
TL;DR: The feasibility of the proposed algorithm is validated against benchmark optimization functions, where the obtained results demonstrate a marked improvement over the standard CSA, in all the cases.
70