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  1. 1
    Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems

    Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems by Nazif, Habibeh

    Published 2010
    “…A Genetic Algorithm is successful in generating near -optimal solutions if it is able to produce o®spring during crossover that is better than the parent solutions. …”
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  2. 2
    A Hybrid of Ant Colony Optimization Algorithm and Simulated Annealing for Classification Rules

    A Hybrid of Ant Colony Optimization Algorithm and Simulated Annealing for Classification Rules by Rizauddin, Saian

    Published 2013
    “…The algorithm fixes the class before rule's construction. …”
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  3. 3
    Process Planning Optimization In Reconfigurable Manufacturing Systems

    Process Planning Optimization In Reconfigurable Manufacturing Systems by Musharavati, Farayi

    Published 2008
    “…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
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  4. 4
    Theory-guided machine learning for predicting and minimising surface settlement caused by the excavation of twin tunnels / Chia Yu Huat

    Theory-guided machine learning for predicting and minimising surface settlement caused by the excavation of twin tunnels / Chia Yu Huat by Chia , Yu Huat

    Published 2024
    “…In response to worsening urban traffic congestion, metro tunnels have emerged as a solution to ease pressure on road networks. Shield machines, like earth pressure balance and slurry machines, are pivotal in modern tunnel construction. …”
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  5. 5
    Feedforward neural network for solving particular fractional differential equations

    Feedforward neural network for solving particular fractional differential equations by Admon, Mohd Rashid

    Published 2024
    “…Then, a single hidden layer of FNN based on Chelyshkov polynomials with an extreme learning machine algorithm (SHLFNNCP-ELM) is constructed for solving FDEsC. …”
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  6. 6
    Methodology to develop heuristic for re-entrant flow shop with two potential dominant machines using bottleneck approach

    Methodology to develop heuristic for re-entrant flow shop with two potential dominant machines using bottleneck approach by Bareduan, Salleh Ahmad, Hasan, Sulaiman

    Published 2012
    “…This paper presents a bottleneck-based methodology to solve scheduling problem of M1,M2,M3,M4,M3,M4 re-entrant flow shop where M1 and M4 have high tendency of being the dominant machines. Two generalised makespan algorithms using bottleneck approach were developed for the identified bottleneck. …”
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  7. 7
    A systematic review of machine learning techniques and applications in soil improvement using green materials

    A systematic review of machine learning techniques and applications in soil improvement using green materials by Saad, Ahmed Hassan, Nahazanan, Haslinda, Yusuf, Badronnisa, Toha, Siti Fauziah, Alnuaim, Ahmed, El-Mouchi, Ahmed, Elseknidy, Mohamed, Mohammed, Angham Ali

    Published 2023
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  8. 8
    Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai

    Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai by Fauzai, Norisyani

    Published 2021
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  9. 9
    Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem

    Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem by Hasan, Mohammad Khatim

    Published 2008
    “…Only 1 3 and 1 9 parts of the solution domain are solved in the main looping construct for problem in 1D and 2D, while the remaining points are solved outside the loop. …”
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  10. 10
    ECG encryption enhancement with multi-layers of AES and DNA computing

    ECG encryption enhancement with multi-layers of AES and DNA computing by Kh-Madhloom, Jamal

    Published 2023
    “…The solution that has been suggested is one that is both secure and effective when it is put to use in conjunction with the ECG and Covid-19 image encoding algorithms. …”
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  11. 11
    Implementation And Performance Analysis Of Machine Learning Models For Detecting Phishing Attacks On Websites

    Implementation And Performance Analysis Of Machine Learning Models For Detecting Phishing Attacks On Websites by Liong, Kah Pong

    Published 2023
    “…To prevent users from falling victim to phishing websites, a machine-learning-based solution is proposed in this project. …”
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  12. 12
    Enhancement of feature sets for subjectivity analysis on Malay-English code-switching text

    Enhancement of feature sets for subjectivity analysis on Malay-English code-switching text by Kasmuri, Emaliana

    Published 2023
    “…The combination has consistently performed at the accuracy of 59% using both machine learning classifiers. The consistent performance indicates the combined feature sets are the viable solution for subjectivity analysis on the Malay-English code-switching text.…”
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  13. 13
    Information extraction using Link Grammar

    Information extraction using Link Grammar by N., Zamin

    Published 2009
    “…LG appears within limited literature search to be the most suitable candidate algorithm. However, an exhaustive literature search will reveal the algorithm best suited to this application work. …”
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  14. 14
    Sentiment analysis for malay newspaper (SAMNews) using negative selection algorithm / Nur Amalina Redzuan

    Sentiment analysis for malay newspaper (SAMNews) using negative selection algorithm / Nur Amalina Redzuan by Redzuan, Nur Amalina

    Published 2013
    “…Sentiment Analysis for Malay Newspaper (SAMNews) is constructed using the negative selection algorithm which is able to classify the sentiment in newspaper’s sentences into the polarity (positive, negative or neutral) automatically repose on detectors word. …”
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  15. 15
    Using Machine Learning Algorithms to Estimate the Compressive Property of High Strength Fiber Reinforced Concrete

    Using Machine Learning Algorithms to Estimate the Compressive Property of High Strength Fiber Reinforced Concrete by Dai, L., Wu, X., Zhou, M., Ahmad, W., Ali, M., Sabri, M.M.S., Salmi, A., Ewais, D.Y.Z.

    Published 2022
    “…Steel fibersâ�� addition in HSC results in bridging behavior which improves its post-cracking behavior, provides cracks arresting and stresses transfer in concrete. Using machine learning (ML) techniques, concrete properties prediction is an effective solution to conserve construction time and cost. …”
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  16. 16
    Parameter Estimation of Lorenz Attractor: A Combined Deep Neural Network and K-Means Clustering Approach

    Parameter Estimation of Lorenz Attractor: A Combined Deep Neural Network and K-Means Clustering Approach by Nurnajmin Qasrina Ann, ., Pebrianti, Dwi, Mohamad Fadhil, Abas, Bayuaji, Luhur

    Published 2022
    “…This study constructs the flow of DNN based method with the K-Means algorithm. …”
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  17. 17
    Optimal network reconfiguration and intelligent service restoration prediction technique based on Cuckoo search spring algorithm / Mohamad Izwan Zainal

    Optimal network reconfiguration and intelligent service restoration prediction technique based on Cuckoo search spring algorithm / Mohamad Izwan Zainal by Zainal, Mohamad Izwan

    Published 2022
    “…From the analysis, the multiobjective CSSA (MOCSSA) had yielded better optimal solutions with faster convergence time as compared to the other two algorithms with improvement of voltage profile and losses minimisation. …”
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  18. 18
    Evacuation routing optimizer (EROP) / Azlinah Mohamed … [et al.]

    Evacuation routing optimizer (EROP) / Azlinah Mohamed … [et al.] by Mohamed, Azlinah, Yusoff, Marina, Ariffin, Junaidah, Shamsudin, Siti Maryam

    Published 2011
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    Research Reports
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  19. 19
    Development of a genetic algorithm controller for cartesian robot

    Development of a genetic algorithm controller for cartesian robot by Ong, Joo Hun

    Published 2008
    “…The objective of this project is to design, develop and optimize the performance of a Cartesian robotic arm in terms of its positioning and speed to perform spot welding application. The genetic algorithm (GA) will be introduce, it will be able to look for the optimum sequences to solve its path planning via evolutionary solutions. …”
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  20. 20
    Fault Tolerance For Two Wheel Mobile Robot Using FSM (Finite State Machine)

    Fault Tolerance For Two Wheel Mobile Robot Using FSM (Finite State Machine) by Chan, Shi Jing, Pebrianti, Dwi, M. F., Abas, Bayuaji, Luhur

    Published 2017
    “…The aim of this research is to construct and design a Fault Tolerance algorithm considered to speed up the fault isolation procedure and it might identify multiple fault with the same static fault signature. …”
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