Browsing by Author "Suganthan, Ponnuthurai N."
Now showing items 1-11 of 11
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3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm for Single Objective Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)This paper proposes a novel hybridization of two metaheuristic algorithms to solve the real-parameter single objective numerical optimization problems. The proposed Three-stage Cyclic Hybrid SFS and L-SHADE (3-sCHSL) ... -
Beyond a single solution: Liquefied natural gas process optimization using niching-enhanced meta-heuristics
( Elsevier , 2025 , Article)The escalating global energy demand and the imperative to mitigate climate change necessitate optimizing the natural gas liquefaction process to enhance energy efficiency, reduce costs, and improve sustainability. Traditional ... -
A Defense Mechanism Against LOKI Attacks in Federated Learning for Enhancing Big Data Privacy in Mobile Systems
( Institute of Electrical and Electronics Engineers (IEEE) , 2024 , Conference)With the exponential growth of mobile applications, Android systems have become a significant source of big data which provides both vast opportunities and substantial privacy challenges. This makes it essential to adopt ... -
Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)The ensemble deep random vector functional link (edRVFL) neural network has demonstrated the ability to address the limitations of conventional artificial neural networks. However, since edRVFL generates features for its ... -
Hybrid training of deep neural networks with multiple output layers for tabular data classification
( Elsevier , 2025 , Article)In the rapidly evolving landscape of deep learning, the ability to balance performance and computational efficiency is indispensable. Layer-wise training, which involves independently training each hidden layer of a neural ... -
Learning strategies for particle swarm optimizer: A critical review and performance analysis
( Elsevier , 2025 , Article)Nature has long inspired the development of swarm intelligence (SI), a key branch of artificial intelligence that models collective behaviors observed in biological systems for solving complex optimization problems. Particle ... -
Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)The random vector functional link (RVFL) neural network has shown the potential to overcome traditional artificial neural networks' limitations, such as substantial time consumption and the emergence of suboptimal solutions. ... -
A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems
( Institute of Electrical and Electronics Engineers (IEEE) , 2025 , Article)Federated Learning (FL) is gaining traction in Android-based consumer electronics, enabling collaborative model training across decentralized devices while preserving data privacy. However, the increasing adoption of FL ... -
Reinforcement Learning Assisting Artificial Bee Colony Algorithm for Scheduling Distributed Assembly Flowshops With Batch Delivery
( Institute of Electrical and Electronics Engineers (IEEE) , 2025 , Article)In response to escalating market demands, we extend the distributed assembly flowshop problems (DAFSPs) by incorporating batch delivery, optimizing both total energy consumption (TEC) and total completion time, simultaneously. ... -
Scheduling Multiobjective Dynamic Surgery Problems via Q-Learning-Based Meta-Heuristics
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)This work addresses multiobjective dynamic surgery scheduling problems with considering uncertain setup time and processing time. When dealing with them, researchers have to consider rescheduling due to the arrivals of ... -
Underwater Acoustic Signal Denoising Algorithms: A Survey of the State of the Art
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)Underwater acoustic signal (UAS) denoising is crucial for enhancing the reliability of underwater communication and monitoring systems by mitigating the effects of noise and improving signal clarity. The complex and dynamic ...
