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  1. 1
    Genetic Algorithm based Chain Leader Election in Wireless Sensor Network for Precision Farming

    Genetic Algorithm based Chain Leader Election in Wireless Sensor Network for Precision Farming by Hamzarul Alif Hamzah, Norah Tuah, Lim, Kit Guan, Tan, Min Keng, Ismail Saad, Tze, Kenneth,Kin Teo

    Published 2020
    “…Therefore, this study aims to prolong the lifespan of WSN while minimizing the energy consumption. Genetic Algorithm (GA) is proposed to enhance the chain leader selection scheme of the conventional PEGASIS. …”
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  2. 2
    Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty

    Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty by Liu, Lihua

    Published 2024
    “…Further more, an improved non-dominated sorting genetic algorithm with an elite strategy II (IMNSGA-II) has been developed to solve the two bi-objective models, surpassing existing literature’s algorithms such as Pareto Envelope-based Selection Algorithm II (PESA-II) and NSGA-II. …”
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  3. 3
    Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain

    Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain by Sadrnia, Abdolhossein

    Published 2014
    “…Therefore, various meta-heuristic algorithms have been tried by researchers. In this research, a new Multi-Objective Logistics Network Model for Automotive Closed-Loop Supply Chain (MOACLSC) for recovering ELVs was developed. …”
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  4. 4
    A Simulated Annealing Approach to Solve Fuzzy Multi-Objective Linear Model for Supplier Selection in a Supply Chain

    A Simulated Annealing Approach to Solve Fuzzy Multi-Objective Linear Model for Supplier Selection in a Supply Chain by Parthiban, P, Dominic P, Dhanapal Durai, dhanalakshmi, p

    Published 2010
    “…Abstract—Suppliers play a key role in achieving the objective of supply chain. Hence selecting the right suppliers and their quota allocation is a very important in achieving corporate competition. …”
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  5. 5
    Development of closed–loop supply chain network in terms of corporate social responsibility

    Development of closed–loop supply chain network in terms of corporate social responsibility by Pedram, A., Pedram, P., Yusoff, N., Sorooshian, S.

    Published 2017
    “…One efficient way to elevate sustainability is the consideration of corporate social responsibility (CSR) by designing a closed loop supply chain (CLSC). This paper has developed a mathematical model to increase corporate social responsibility in terms of job creation. …”
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  6. 6
    Development of Closed–Loop Supply Chain Network in Terms of Corporate Social Responsibility

    Development of Closed–Loop Supply Chain Network in Terms of Corporate Social Responsibility by Pedram, Ali, Pedram, Payam, Nukman, Yusof, Sorooshian, Shahryar

    Published 2017
    “…One efficient way to elevate sustainability is the consideration of corporate social responsibility (CSR) by designing a closed loop supply chain (CLSC). This paper has developed a mathematical model to increase corporate social responsibility in terms of job creation. …”
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  7. 7
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  8. 8
    Development of a new approach for deterministic supply chain network design

    Development of a new approach for deterministic supply chain network design by Bidhandi, Hadi Mohammadi, Mohd. Yusuff, Rosnah, Megat Ahmad, Megat Mohamad Hamdan, Abu Bakar, Mohd Rizam

    Published 2008
    “…This paper proposes a mixed integer linear programming model and solution algorithm for solving supply chain network design problems in deterministic, multi-commodity, single-period contexts. …”
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  9. 9
    A comprehensive model for determining technological innovation level in supply chains using green investment, eco-friendly design and customer collaborations factors

    A comprehensive model for determining technological innovation level in supply chains using green investment, eco-friendly design and customer collaborations factors by Beigizadeh, Razieh, Delgoshaei, Aidin, Ariffin, Mohd Khairol Anuar, Hanjani, Sepehr Esmaeili, Ali, Ahad

    Published 2022
    “…Then, in the 2nd phase, a comprehensive model will be developed and trained. Using the data of supply chains that were gathered in the first phase, the train and test data would be selected. …”
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  10. 10
    A Bio-Inspired Behavior-Based Hybrid Framework for Ransomware Detection

    A Bio-Inspired Behavior-Based Hybrid Framework for Ransomware Detection by Mohammed A. F. Salah, Mohd Fadzli Marhusin, Rossilawati Sulaiman

    Published 2026
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  11. 11
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
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  12. 12
    Optimizing palm oil biomass collection: genetic algorithm approaches in solving location-routing problem

    Optimizing palm oil biomass collection: genetic algorithm approaches in solving location-routing problem by Foo, Fong Yeng, Zaitul Marlizawati Zainuddin, Hang, See Pheng

    Published 2025
    “…To achieve these objectives, the research employs genetic algorithm (GA) approaches, incorporating innovative strategies, namely automated mutation operator selection (AMOS) and elite child population (ECP). …”
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  13. 13
    Development Of A Robust Blind Digital Video Watermarking Algorithm Using Discrete Wavelet Transform

    Development Of A Robust Blind Digital Video Watermarking Algorithm Using Discrete Wavelet Transform by Al-Deen, Ahmed A. Baha'a

    Published 2007
    “…On the other hand, a random key is used to choose the frames to be watermarked to increase the security level of the algorithm and discourage piracy. The aim of this research is to develop a video watermarking algorithm to embed a binary image inside the uncoded video stream that acts as a logo. …”
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  14. 14
    Extreme air pollutant data analysis using classical and Bayesian approaches

    Extreme air pollutant data analysis using classical and Bayesian approaches by Mohd Amin, Nor Azrita

    Published 2015
    “…MTM algorithm is an extension of MH algorithm, designed to improve the convergence of MH algorithm by performing parallel computation. …”
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  15. 15
    Data transmission in wireless sensor network with greedy function and particle swarm optimization

    Data transmission in wireless sensor network with greedy function and particle swarm optimization by Hamzarul Alif Hamzah, Norah Tuah, Kit Guan Lim, Min Keng Tan, Lei Zhu, Kenneth Tze Kin Teo

    Published 2019
    “…From the tests, PSO is able to reduce the total chain distance (TCD) by up to 7.69% in comparison to the greedy algorithm.…”
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  16. 16
    Bayesian random forests for high-dimensional classification and regression with complete and incomplete microarray data

    Bayesian random forests for high-dimensional classification and regression with complete and incomplete microarray data by Oyebayo, Olaniran Ridwan

    Published 2018
    “…These weights are in turn used to develop new impurity functions for selecting optimal splits for each tree in a forest. …”
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  17. 17
    The identification of alcohol percentage limit in halal food using fuzzy logic

    The identification of alcohol percentage limit in halal food using fuzzy logic by Mohd Ali, Jarinah, Othman, Suhaili, Ahmad Fadzillah, Nurrulhidayah, Abd. Rahman, Norliza

    Published 2021
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  18. 18
    MRFGRO: a hybrid meta-heuristic feature selection method for screening COVID-19 using deep features

    MRFGRO: a hybrid meta-heuristic feature selection method for screening COVID-19 using deep features by Dey, Arijit, Chattopadhyay, Soham, Pawan Kumar Singh, Ahmadian, Ali, Ferrara, Massimiliano, Senu, Norazak, Sarkar, Ram

    Published 2021
    “…Then, we have proposed a hybrid meta-heuristic feature selection (FS) algorithm, named as Manta Ray Foraging based Golden Ratio Optimizer (MRFGRO) to select the most significant feature subset. …”
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  19. 19
    Rainfall modeling using two different neural networks improved by metaheuristic algorithms

    Rainfall modeling using two different neural networks improved by metaheuristic algorithms by Sammen S.S., Kisi O., Ehteram M., El-Shafie A., Al-Ansari N., Ghorbani M.A., Bhat S.A., Ahmed A.N., Shahid S.

    Published 2024
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  20. 20
    A Hybrid Metaheuristic Technique Based on Grey Wolf Optimisation, Symbiotic Organism Search, and Ant Colony Optimisation for Solving Multi-Objective Vehicle Routing Problems

    A Hybrid Metaheuristic Technique Based on Grey Wolf Optimisation, Symbiotic Organism Search, and Ant Colony Optimisation for Solving Multi-Objective Vehicle Routing Problems by Ary, Maxsi

    Published 2025
    “…The hybridisation mechanism combines the global exploration strength of GWO, the solution refinement capability of SOS, and the effective path construction of ACO into an integrated search strategy. The algorithm was first developed and tested using a standard benchmark dataset (Dantzig42), which was selected due to its standard usage in VRP research and its suitability for performance comparison owing to its structured complexity. …”
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