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  1. 1
    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.

    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

    Published 2012
    “…It is noted that active user intervention increases the acceleration of Genetic Algorithm towards an optimal solution. …”
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  2. 2
    A firefly algorithm based hybrid method for structural topology optimization

    A firefly algorithm based hybrid method for structural topology optimization by Gebremedhen, H.S., Woldemichael, D.E., Hashim, F.M.

    Published 2020
    “…The lower and upper limit of design variables (0 and 1) were used to find initial material distribution to initialize the firefly algorithm based section of the hybrid algorithm. …”
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  3. 3
    DESIGN AND EVALUATION OF RESOURCE ALLOCATION AND JOB SCHEDULING ALGORITHMS ON COMPUTATIONAL GRIDS

    DESIGN AND EVALUATION OF RESOURCE ALLOCATION AND JOB SCHEDULING ALGORITHMS ON COMPUTATIONAL GRIDS by MEHMOOD SHAH, SYED NASIR

    Published 2012
    “…The four prime aspects of this work are: firstly, a model of the grid scheduling problem for dynamic grid computing environment; secondly, development of a new web based simulator (SyedWSim), enabling the grid users to conduct a statistical analysis of grid workload traces and provides a realistic basis for experimentation in resource allocation and job scheduling algorithms on a grid; thirdly, proposal of a new grid resource allocation method of optimal computational cost using synthetic and real workload traces with respect to other allocation methods; and finally, proposal of some new job scheduling algorithms of optimal performance considering parameters like waiting time, turnaround time, response time, bounded slowdown, completion time and stretch time. …”
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  4. 4
    Optimal demand response of solar energy generation using Genetic Algorithm / Muhammad Asyraaf Adlan

    Optimal demand response of solar energy generation using Genetic Algorithm / Muhammad Asyraaf Adlan by Adlan, Muhammad Asyraaf

    Published 2025
    “…The aim of this study is to optimize the demand response of solar energy generation using Genetic Algorithm (GA) to minimize the daily yield loss caused by load shedding. …”
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  5. 5
    Joint torque estimation model of surface electromyography(sEMG) based on swarm intelligence algorithm for robotic assistive device

    Joint torque estimation model of surface electromyography(sEMG) based on swarm intelligence algorithm for robotic assistive device by Nurhanim, K., Elamvazuthi, I., Vasant, P., Ganesan, T., Parasuraman, S., Ahamed Khan, M.K.A.

    Published 2014
    “…This paper discusses the mapping of surface electromyography signals (sEMG) to torque for robotic rehabilitation. Particle swarm optimization (PSO) has been applied as a control algorithm for a number of selected mathematical models. sEMG signals were determined as input data to the mathematical model where parameters of the mathematical model were optimized using PSO. …”
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  6. 6
    Methodology for modified whale optimization algorithm for solving appliances scheduling problem

    Methodology for modified whale optimization algorithm for solving appliances scheduling problem by Omar, Mohd Faizal, Mohd Bakeri, Noorhadila, Mohd Nawi, Mohd Nasrun, Hairani, Norfazlirda, Khalid, Khalizul

    Published 2020
    “…Whale Optimization Algorithm (WOA) is considered as one of the newest metaheuristic algorithms to be used for solving a type of NP-hard problems. …”
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  7. 7
    HSO: A hybrid swarm optimization algorithm for reducing energy consumption in the cloudlets

    HSO: A hybrid swarm optimization algorithm for reducing energy consumption in the cloudlets by Hasan, Raed Abdulkareem, Mostafa, A. Mohammed, Salih, Zeyad Hussein, M. A., Ameedeen, Tapus, Nicolae, Mohammed, Muamer N.

    Published 2018
    “…With the proposed model, the performance of the Hybrid swarm algorithm was significantly increased, as observed by optimizing the number of tasks through simulation, (power consumption was reduced by 42%). …”
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  8. 8
    Optimization of operating cost and energy consumption in a smart grid

    Optimization of operating cost and energy consumption in a smart grid by Mahdi, Baqer Saleh, Sulaiman, Nasri, Shehab, Mohanad Abd, Shafie, Suhaidi, Hizam, Hashim, Mohd Hassan, Siti Lailatul

    Published 2024
    “…The non-dominated sorting genetic algorithm II (NSGA-II) is employed to address optimization challenges. …”
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  9. 9
    Student-Class (SC) optimization system / Haifaa Mahfuzah Hazalin

    Student-Class (SC) optimization system / Haifaa Mahfuzah Hazalin by Hazalin, Haifaa Mahfuzah

    Published 2020
    “…To solve the issue the Student-Class Optimization System had been developed by using optimization technique, specifically, is a Greedy Algorithm. …”
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  10. 10
    Stock indicator scanner customization tool using deep reinforcement learning

    Stock indicator scanner customization tool using deep reinforcement learning by Cheong, Desmond YongHong

    Published 2022
    “…Nowadays, there have some applications provide predictive model for user to predict the stock trend, however user cannot customize the type of input data used in the predictive models. …”
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  11. 11
    Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach

    Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach by Wan Solehah, Wan Ahmad

    Published 2022
    “…The result indicates the performance of the optimized model outperforms the baseline model.…”
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  12. 12
    Optimal planning of photovoltaic distributed generation considering uncertainties using monte carlo pdf embedded MVMO-SH

    Optimal planning of photovoltaic distributed generation considering uncertainties using monte carlo pdf embedded MVMO-SH by Norhafidzah, Mohd Saad

    Published 2021
    “…A hybrid population – based stochastic optimization method named MVMO-SH algorithm is proposed to optimize PVDG locations and sizes in the grid system network. …”
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  13. 13
    Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks

    Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks by Ukasyah bin Mahamod

    Published 2025
    thesis::doctoral thesis
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  14. 14
    An intelligent framework for modelling and active vibration control of flexible structures

    An intelligent framework for modelling and active vibration control of flexible structures by Mohd. Hashim, Siti Zaiton

    Published 2004
    “…The second controller design strategy is based on a cost function optimization using GAS. …”
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  15. 15
    State-Aware re-configuration model for multi-radio wireless Mesh Networks

    State-Aware re-configuration model for multi-radio wireless Mesh Networks by Zakaria, Omar, Hassan Abdalla Hashim, Aisha, Hassan, Wan Haslina, Khalifa, Othman Omran, Azram, Mohammad, Goudarzi, Shidrokh, Jivanadham, Lalitha Bhavani, Zareei, Mahdi

    Published 2017
    “…In order to adapt to traffic dynamics in the network which might be caused by many factors i.e. users’ mobility, a centralized heuristic re-configuration algorithm called State-Aware Joint Routing and Channel Assignment (SA-JRCA) is proposed in this research based on our re-configuration model. …”
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  16. 16
    Agreement options for negotiation on material location decision of housing development

    Agreement options for negotiation on material location decision of housing development by Utomo, C., Rahmawati, Y.

    Published 2020
    “…Application of coalition formation for agreement options is used to select the best fit material location. It is based on satisficing game theory rather than optimization. …”
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  17. 17
    Batch Scheduling Using Matrix Approach under Demand Fluctuation

    Batch Scheduling Using Matrix Approach under Demand Fluctuation by Tan, Melvin Zi Hern

    Published 2010
    “…An algorithm is introduced and implemented to achieve the multiple objective functions of short makes pan, demand target, and high economic potential simultaneously.…”
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    Final Year Project
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  18. 18
    Improving spectrum efficiency on cognitive radio spectrum sensing with enhanced diversity concept / Mohsen Akbari

    Improving spectrum efficiency on cognitive radio spectrum sensing with enhanced diversity concept / Mohsen Akbari by Mohsen, Akbari

    Published 2016
    “…At the first step, this research proposes an analytical study on the optimality of common soft decision fusion (SDF) cooperative spectrum sensing (CSS) and decision based on the modified imperialistic competitive algorithm (ICA) at which low total probability of error (…”
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  19. 19
    Antenna design using left-handed materials

    Antenna design using left-handed materials by Abd. Rahman, Tharek, Abdolee, Reza

    Published 2008
    “…The design and implementation steps are as follow: the system is firstly modeled by MATLAB software. After modeling, the algorithm is implemented in DSP by using C and Code Composer Studio. …”
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    Monograph
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  20. 20
    Rate limiting algorithm on video traffic with Pareto traffic model in broadband network / Rafidah Samsuri

    Rate limiting algorithm on video traffic with Pareto traffic model in broadband network / Rafidah Samsuri by Samsuri, Rafidah

    Published 2016
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