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  1. 1
    Direct approach for mining association rules from structured XML data

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
    “…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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  2. 2
    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
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  3. 3
    Prevention And Detection Mechanism For Security In Passive Rfid System

    Prevention And Detection Mechanism For Security In Passive Rfid System by Khor, Jing Huey

    Published 2013
    “…The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). …”
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  4. 4
    Small Farmers' Decisions: Utility Versus Profit Maximization

    Small Farmers' Decisions: Utility Versus Profit Maximization by Mohayidin, Mohd. Ghazali

    Published 1982
    “…The farmers' perception of the riskiness ofaltemative crops are also measured and a quadratic programming algorithm is used to derive the most efficient expected meanvariance (E- V) frontier of each farmer. …”
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  5. 5
    Optimizing Visual Surveillance Sensor Coverage Using Dynamic Programming

    Optimizing Visual Surveillance Sensor Coverage Using Dynamic Programming by Altahir, A.A., Asirvadam, V.S., Hamid, N.H.B., Sebastian, P., Saad, N.B., Ibrahim, R.B., Dass, S.C.

    Published 2017
    “…To validate the proposed algorithm, we compared the outcomes of the dynamic programming algorithm with the existing benchmarking placement optimization techniques. …”
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  6. 6
    Automatic generation of content security policy to mitigate cross site scripting

    Automatic generation of content security policy to mitigate cross site scripting by Mhana, Samer Attallah, Din, Jamilah, Atan, Rodziah

    Published 2016
    “…It can be extended to support generating CSP for contents that are modified by JavaScript after loading. Current approach inspects the static contents of URLs.…”
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  7. 7
    Surveillance camera placement optimization using Particle Swarm Optimization (PSO) algorithm and Mixed-Integer Linear Programming (MILP) model / `Ain Safia Roslan

    Surveillance camera placement optimization using Particle Swarm Optimization (PSO) algorithm and Mixed-Integer Linear Programming (MILP) model / `Ain Safia Roslan by Roslan, `Ain Safia

    Published 2024
    “…This project explores the optimization of surveillance camera placements using Particle Swarm Optimization (PSO) and Mixed-Integer Linear Programming (MILP). …”
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  8. 8
    Reusability techniques in load-flow analysis computer program

    Reusability techniques in load-flow analysis computer program by Nor, K.M., Mokhlis, Hazlie, Gani, T.A.

    Published 2004
    “…The software is built by using component-based development and object oriented programming methodologies. …”
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  9. 9
    Optimization of milling parameters using ant colony optimization

    Optimization of milling parameters using ant colony optimization by Mohd Saupi, Mohd Sauki

    Published 2008
    “…The result obtained from this simulation will compare with another method like Genetic Algorithm (GA) and Linear Programming Technique (LPT) to validation. …”
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  10. 10
    Global optimal analysis of variant genetic operations in solar tracking

    Global optimal analysis of variant genetic operations in solar tracking by Fam D.F., Koh S.P., Tiong S.K., Chong K.H.

    Published 2023
    “…Genetic Algorithms (GAs), Evolution Strategies (ES), Evolutionary Programming (EP) and Genetic Programming (GP) are some of the best known types of Evolutionary Algorithm (EA)where it is a class of global search algorithms inspired by natural evolution. …”
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  11. 11
    Profit Maximization of a Crude Distillation Unit

    Profit Maximization of a Crude Distillation Unit by Ali, Syed, Yusoff, Nooryusmiza, ganguly, saibal

    Published 2013
    “…A nonlinear steady state model is used to simulate a crude distillation unit later optimized using sequential quadratic programming (SQP) algorithm. …”
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  12. 12
    Crop planning optimization on paddy fields under MADA using goal programming / Nur Izzah Naimi Mohd Radzi

    Crop planning optimization on paddy fields under MADA using goal programming / Nur Izzah Naimi Mohd Radzi by Mohd Radzi, Nur Izzah Naimi

    Published 2021
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    Student Project
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  13. 13
    Evolutionary algorithm optimization for dynamic economic dispatch considering uncertainties / Khairul Faizee Korsin

    Evolutionary algorithm optimization for dynamic economic dispatch considering uncertainties / Khairul Faizee Korsin by Korsin, Khairul Faizee

    Published 2017
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  14. 14
    Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari

    Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari by Mohammed , Heydari

    Published 2017
    “…An improved particle swarm algorithm (HPSOGA) is used to solve complex problems of water resources optimization. …”
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  15. 15
    Final examination time table scheduling using integer programming with average time slot gap minimization

    Final examination time table scheduling using integer programming with average time slot gap minimization by Nur Hidayah Abdul Jamil, Nor Aliza Ab Rahmin, Athirah Nawawi

    Published 2024
    “…We used an integer programming approach with an average time slot over the examination for this examination scheduling problem. …”
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  16. 16
    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
    “…Finally the problem is solved by using simulated annealing algorithm to enable the decision-maker to select the right suppliers and allocate their quota in order to minimize the cost, maximize the quality level and again maximize the service level.…”
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  17. 17
    Final examination time table scheduling using integer programming with average time slot gap minimization

    Final examination time table scheduling using integer programming with average time slot gap minimization by Abdul Jamil, Nur Hidayah, Ab Rahmin, Nor Aliza, Nawawi, Athirah

    Published 2024
    “…We used an integer programming approach with an average time slot over the examination for this examination scheduling problem. …”
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  18. 18
    Performances Of Metaheuristic Algorithms In Optimizing Tool Capacity Allocations

    Performances Of Metaheuristic Algorithms In Optimizing Tool Capacity Allocations by Goheannee

    Published 2014
    “…In this research, the algorithms studied includes Genetic Algorithm, Particle Swarm Optimization Algorithm, Differential Evolution Algorithm, Harmony Search Algorithm, Teaching-LearningBased Optimization Algorithm and Black Hole Algorithm. …”
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  19. 19
    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
    “…The other two models are bi-objective mixed integer nonlinear programming models with soft time window constraints developed to minimize costs and maximize customer satisfaction under uncertain demand, which include stochastic and fuzzy demand, respectively. …”
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  20. 20
    A maximal-clique-based clustering approach for multi-observer multi-view data by using k-nearest neighbor with S-pseudo-ultrametric induced by a fuzzy similarity

    A maximal-clique-based clustering approach for multi-observer multi-view data by using k-nearest neighbor with S-pseudo-ultrametric induced by a fuzzy similarity by Khameneh, Azadeh Zahedi, Ghaznavi, Mehrdad, Kilicman, Adem, Mahad, Zahari, Mardani, Abbas

    Published 2024
    “…The proposed clustering algorithm is programmed and tested on synthetic and four real-world datasets using the R software. …”
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