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  1. 1
    An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion

    An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion by Haque, Ariful

    Published 2018
    “…Although useful, the existing algorithms does not provide any comparative data to select an algorithm based on the problem size and difficulty and the use of other neighborhood algorithms (including Great Deluge and Late Acceptance Hill Climbing) has not been sufficiently explored as well. …”
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  2. 2
    Multi-objective pareto ant colony system based algorithm for generator maintenance scheduling

    Multi-objective pareto ant colony system based algorithm for generator maintenance scheduling by Shimailawi, Shatha Abdulhadi Muthana

    Published 2022
    “…These models are inefficient because unit commitment does not undergo maintenance and periodic strategy cannot be applied on different types of generators. …”
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  3. 3
    Comparative Benchmarking Of Constraints T-Way Test Generation Strategy Based On Late Acceptance Hill Climbing Algorithm

    Comparative Benchmarking Of Constraints T-Way Test Generation Strategy Based On Late Acceptance Hill Climbing Algorithm by Kamal Z., Zamli, Alsewari, Abdulrahman A., Al-Kazemi, Basem

    Published 2015
    “…This paper describes the new t-way strategy based the Late Acceptance based Hill Climbing algorithm, called LAHC, for constraints t-way test generation. …”
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  4. 4
    An Efficient Genetic Algorithm for Large Scale Vehicle Routing Problem Subject to Precedence Constraints

    An Efficient Genetic Algorithm for Large Scale Vehicle Routing Problem Subject to Precedence Constraints by Noraini, Mohd Razali

    Published 2015
    “…The conventional genetic algorithm procedure for TSP, with an order-based representation might generate invalid candidate solutions when precedence constraints are involved. …”
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  5. 5
    Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS

    Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS by Jaafar, Jafreezal

    Published 2017
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  6. 6
    Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory

    Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory by Rusli, Julie Roslita

    Published 2011
    “…The algorithms used in this generator are based on March algorithm. …”
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  7. 7
    A novel computer-aided multivariate water quality index

    A novel computer-aided multivariate water quality index by Siong, Fong Sim, Teck, Yee Ling, Seng, Lau, Mohd Zuli, Jaafar

    Published 2015
    “…Results indicate that the algorithm is robust and reliable. Based on six parameters, the overall ratings derived are inversely correlated to DOE-WQI. …”
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  8. 8
    A fuzzy adaptive teaching learning-based optimization strategy for generating mixed strength t-way test suites

    A fuzzy adaptive teaching learning-based optimization strategy for generating mixed strength t-way test suites by Din, Fakhrud

    Published 2019
    “…Many test data generation strategies based on meta-heuristic algorithms such as Simulated Annealing (SA), Tabu Search (TS), Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Harmony Search (HS), Cuckoo Search (CS), Bat Algorithm (BA) and Bees Algorithm have been developed in recent years. …”
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  9. 9
    Optimisation of tilt angles for fixed PV Panel via computational algorithm

    Optimisation of tilt angles for fixed PV Panel via computational algorithm by Tang, Hong Wei

    Published 2022
    “…Additionally, the comparisons among three cases have been performed, which are Case 1: optimum annual energy generation based on optimal tilt angles, Case 2: optimum annual energy generation based on optimal tilt angle and azimuth angle faces South, and Case 3: optimum annual energy generation based on tilt angle according to location’s latitude coordinate and azimuth angle faces South. …”
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    Final Year Project / Dissertation / Thesis
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  10. 10
    Genetic algortihm to solve pcb component placement modeled as travelling salesman problem

    Genetic algortihm to solve pcb component placement modeled as travelling salesman problem by Mohd Khazzarul Khazreen, Mohd Zaidi

    Published 2013
    “…Genetic algorithms are a class of stochastic search algorithms based on biological evolution. …”
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  11. 11
    Solar maximum power point tracking based on improved incremental conductance algorithm

    Solar maximum power point tracking based on improved incremental conductance algorithm by Mailah, Nashiren Farzilah, Boyao, Ma

    Published 2025
    “…To address these limitations, this work proposes an incremental conductance-based resilient adaptive step-size MPPT (INC-RASS-MPPT) algorithm.…”
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  12. 12
    Metaheuristic optimization of perovskite solar cell using hybrid L₃₂ Taguchi DoE-based genetic algorithm

    Metaheuristic optimization of perovskite solar cell using hybrid L₃₂ Taguchi DoE-based genetic algorithm by Salehuddin, Fauziyah, Ahmad Jalaludin, Nabilah, Kaharudin, Khairil Ezwan, Arith, Faiz, Mohd Zain, Anis Suhaila, Md Junos@Yunus, Siti Aisah, R Apte, Prakash

    Published 2024
    “…The proposed approach is realized using Solar Cell Capacitance Simulator (SCAPS-1D) software incorporated with a hybrid L32 Taguchi DoE-based Genetic Algorithm. Based on Multiple Linear Regression (MLR) analysis, the thickness of mix halide perovskite (CH3NH3PbI3-XClX) was discovered to be the most crucial input parameter affecting the Power Conversion Efficiency (PCE) variations. …”
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  13. 13
    A novel enhancement technique of the hill cipher for effective cryptographic purposes.

    A novel enhancement technique of the hill cipher for effective cryptographic purposes. by Abidin, A.F.A., Chuan, O.Y., Kamel Ariffin, Muhammad Rezal

    Published 2011
    “…An algorithm proposed for involutory key matrix generation is also implemented in the proposedalgorithm. …”
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  14. 14
    Enhanced ontology-based text classification algorithm for structurally organized documents

    Enhanced ontology-based text classification algorithm for structurally organized documents by Oleiwi, Suha Sahib

    Published 2015
    “…The third algorithm is the Ontology Based Text Classification (OBTC) and is designed to reduce the dimensionality of training sets. …”
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  15. 15
    Some greedy based algorithms for multi periods degree constrained minimum spanning tree problem

    Some greedy based algorithms for multi periods degree constrained minimum spanning tree problem by Wamiliana, Wamiliana, Elfaki, Faiz Ahmed Mohamed, Usman, Mustofa, Azram, Mohammad

    Published 2015
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  16. 16
    The performance of block decoding using Dorsch algorithm / Husna Abdul Rahman, Ros Shilawani S. Abdul Kadir and Farah Yasmin Abdul Rahman.

    The performance of block decoding using Dorsch algorithm / Husna Abdul Rahman, Ros Shilawani S. Abdul Kadir and Farah Yasmin Abdul Rahman. by Abdul Rahman, Husna, S. Abdul Kadir, Ros Shilawani, Abdul Rahman, Farah Yasmin

    Published 2007
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    Research Reports
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  17. 17
    Implement edge pruning to enhance attack graph generation using the naïve approach algorithm

    Implement edge pruning to enhance attack graph generation using the naïve approach algorithm by Al-Araji, Zaid J., Mutlag, Ammar Awad, Syed Ahmad, Sharifah Sakinah

    Published 2024
    “…The attack surface for hackers is growing as more devices are linked to the internet. The next generation cyber defence concentrating on predictive analysis seems more proactive than existing technologies based on intrusion detection. …”
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  18. 18
    Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS

    Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS by Hassan, S., Khanesar, M.A., Jaafar, J., Khosravi, A.

    Published 2017
    “…Since extreme learning machine is a non-iterative estimation procedure, it is faster than gradient-based algorithms which are iterative. Moreover, the extreme learning machine does not have any design parameters such as learning rate, covariance matrix, etc. …”
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  19. 19
    Automatic generation of multi-objective neural game controllers using Pareto-based differential evolution

    Automatic generation of multi-objective neural game controllers using Pareto-based differential evolution by Chin, Kim On, Jason Teo, Chang, Kee Tong

    Published 2010
    “…This report is to investigate how well does Pareto-base Differential Evolution (POE) with a Neural controller perform in a RTS game. …”
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  20. 20
    Adaptive speech synthesis module with emotional expression

    Adaptive speech synthesis module with emotional expression by Hassan Abdalla Hashim, Aisha, Ahmed, Mustafa, Khalifa, Othman Omran

    Published 2010
    “…Computer generated speech replaces the conventional text based interaction methods. …”
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