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  1. 1
    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof

    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof by Yusof, Yusman

    Published 2019
    “…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
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  2. 2
    Metric's thresholds for encoding evolutionary computing representation in software engineering problem

    Metric's thresholds for encoding evolutionary computing representation in software engineering problem by Md Sultan, Abu Bakar, Din, Jamilah, Zulzalil, Hazura, Bakar, Abubakar Diwani

    Published 2015
    “…Algorithm was tested to metric selection problem using Genetic Algorithm and the results obtained are promising.…”
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  3. 3
    A comparative representation approach to modern heuristic search methods in a job shop

    A comparative representation approach to modern heuristic search methods in a job shop by Dominic P, Dhanapal Durai, Ahmad, Kamil, Parthiban, P, Lenny Koh, SC

    Published 2008
    “…This research article addresses the problem of static job shop scheduling on the job-based representation and the rule-based representations. …”
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  4. 4
    Application of minimax algorithm in dots and boxes game

    Application of minimax algorithm in dots and boxes game by Tan, Ah Hwa

    Published 2025
    “…The methodology involved implementing the Minimax algorithm as the primary decision-making engine for the AI. …”
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  5. 5
    Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization

    Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization by Yahya, Zainor Ridzuan

    Published 2013
    “…Data representation is a challenging problem in areas such as font reconstruction, medical image and scanned images. …”
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  6. 6
    A review of crossover methods and problem representation of genetic algorithm in recent engineering applications

    A review of crossover methods and problem representation of genetic algorithm in recent engineering applications by Zainuddin, Farah Ayiesya, Abd Samad, Md Fahmi

    Published 2020
    “…This paper reviews crossover methods and problem representation, e.g. in the form of binary coded and real coded representation, used by researchers in order to solve engineering operations. …”
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  7. 7
    A Micro-Genetic Algorithm Approach for Soft Constraint Satisfaction Problem in University Course Scheduling

    A Micro-Genetic Algorithm Approach for Soft Constraint Satisfaction Problem in University Course Scheduling by Abd. Halim, Bohadean @ Bohari

    Published 2013
    “…Thus, this study proposes an encoding chromosome representation using one-dimensional arrays to improve the Micro Genetic algorithm approach to soft constraint problems in the university course schedule. …”
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  8. 8
    Ball surface representations using partial differential equations

    Ball surface representations using partial differential equations by Kherd, Ahmad Saleh Abdullah

    Published 2015
    “…This algorithm is then tested in positivity preserving of surface and image enlargement problems. …”
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  9. 9
    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms

    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms by Koh, Johnny Siaw Paw

    Published 2008
    “…This thesis presents a new approach to optimize the performance of a dual beam optical scanning system in terms of its scanning combinations and speed, using Genetic Algorithm (GA). The problem has been decomposed into two sub problems; task segregation, where the scanning tasks need to be segregated and assigned for each scanner head, and path planning where the best combinatorial paths for each scanner are determined in order to minimize the total motion of scanning time. …”
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  10. 10
    Active intelligent control of vibration of flexible plate structures

    Active intelligent control of vibration of flexible plate structures by Md Salleh, Salihatun

    Published 2011
    “…The approach is realised within SISO and SIMO AVC structures using RCGA, PSO and AIS algorithms. These are implemented on the flexible plate structure with various disturbance signals. …”
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  11. 11
    Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems

    Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems by Umar, Umar Ali

    Published 2014
    “…The integrated algorithms use two genetic representations for the individual solution entire sub-chromosomes. …”
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  12. 12
    DESIGN AND DEVELOPMENT OF KEY REPRESENTATION AUDITING SCHEME FOR SECURE ONLINE AND DYNAMIC STATISTICAL DATABASES

    DESIGN AND DEVELOPMENT OF KEY REPRESENTATION AUDITING SCHEME FOR SECURE ONLINE AND DYNAMIC STATISTICAL DATABASES by ELSHIEKH MOHAMMED AHMED, ASIM ABDALLAH

    Published 2010
    “…These algorithms enable the key representation auditor (KRA) to conveniently specify the illegal queries which could lead to disclosing the SDB. …”
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  13. 13
    Car dealership web application

    Car dealership web application by Yap, Jheng Khin

    Published 2022
    “…Thus, explainable AI and AI monitoring become the integral components for any new development of commercial applications, including used car dealership web application. …”
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  14. 14
    USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING

    USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING by MUFLIKHAH, LAILIL

    Published 2010
    “…Based on the new representation, the documents are then subjected to the clustering algorithm itself, which is Fuzzy c-Means algorithm. …”
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  15. 15
    Maintaining diversity for genetic algorithm : a case of timetabling problem.

    Maintaining diversity for genetic algorithm : a case of timetabling problem. by Md Sultan, Abu Bakar, Mahmod, Ramlan, Sulaiman, Md. Nasir, Abu Bakar, Mohd Rizam

    Published 2006
    “…Over the last decade, variant of genetic algorithm (GA) approaches have been used to solve various type of optimization problems. …”
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  16. 16
    Vehicle routing problem using genetic algorithm / Shamini Nagaratnam

    Vehicle routing problem using genetic algorithm / Shamini Nagaratnam by Shamini , Nagaratnam

    Published 2006
    “…This dissertation studies and explores the potential of using Genetic Algorithms to find the shortest path in Vehicle Routing Problem. …”
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  17. 17
    Application of Artificial Intelligence In Smart City

    Application of Artificial Intelligence In Smart City by Law, Jia Wei

    Published 2021
    “…This study aims to study the effects of the implementation of AI in the smart city. The objectives of this study are to review the concepts of AI and smart city, conduct the Strength, Weakness, Opportunity, and Threat (SWOT) Analysis of deployment of AI in a smart city, and propose the future trends of AI implementation in a smart city. …”
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  18. 18
    Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem

    Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem by Anniza, Hamdan, San Nah, Sze, Say Leng, Goh, Kang Leng, Chiew, Wei King, Tiong

    Published 2023
    “…The evolutionary algorithm has been extensively used to solve a range of combinatorial optimization problems. …”
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  19. 19
    Adopting A Particle Swarm-Based Test Generator Strategy For Variable-Strength And T-Way Testing

    Adopting A Particle Swarm-Based Test Generator Strategy For Variable-Strength And T-Way Testing by S. Ahmed, Bestoun

    Published 2011
    “…Many AI-based strategies have been developed, such as Ant Colony, Simulated Annealing, Genetic Algorithm, and Tabu Search. …”
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  20. 20
    Conflict-free automated guided vehicles routing using multi-objective genetic algorithm

    Conflict-free automated guided vehicles routing using multi-objective genetic algorithm by Umar, Ali Umar, Mohd Ariffin, Mohd Khairol Anuar, Ismail, Napsiah, Tang, Sai Hong

    Published 2013
    “…The algorithm used weight mapping crossover (WMX) and Insertion Mutation (IM) for priority-based representation and parameterized uniform crossover (PUX) for random-key based representation. …”
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