Author

Nor Ashidi Mat Isa

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Open access Oct 2026

An Emperor Penguin Optimizer with Intelligent Modular Arithmetic-Driven Multi-Population Partitioning

This paper proposes a Multi-Population Emperor Penguin Optimizer with Joint Opposite Selection (MLPEPO-JOS), an adaptive multi-population optimization framework that introduces a process innovation in how population coordination, diversity preservation, and opposition learning are integrated.

O. Khalid, Nor Ashidi Mat Isa, Wei-Hong Lim · Journal of Computational Des... · 0 citations

Open access 2026

Toward Solving the Learning Rate Problem in Convolutional Neural Networks Using an Enhanced Cyclical Learning Rate Strategy

The Cyclical Local Adaptive Learning Rate Strategy (CLARA) is proposed, an enhanced CLR that introduces scheduler-level adaptive learning rate adjustment and dynamically adjusts the lower learning rate bound in response to training behaviour to improve convergence consistency during training.

Hariyanti Mohd Saleh, Nor Ashidi Mat Isa, Nor Hidayah Saad et al. · IEEE Access · 0 citations