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  1. 1
    Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review

    Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review by Nuh, Jamal Abdullahi, Koh, Tieng Wei, Baharom, Salmi, Osman, Mohd Hafeez, Kew, Si Na

    Published 2021
    “…To evaluate such performance, it is necessary to consider a number of performance metrics that play important roles during the evaluation and comparison of investigated algorithms based on their best-simulated results. …”
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  2. 2
    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
    “…The proposed algorithm re-assigns channels to radios and re-configures flows’ routes with aim of achieving a tradeoff between maximizing the network throughput and minimizing the re-configuration overhead. …”
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  3. 3
    Development of improved bottleneck-based heuristic for re-entrant flow shop with dominant machine at M1 and M4

    Development of improved bottleneck-based heuristic for re-entrant flow shop with dominant machine at M1 and M4 by Mohd Fidzwan, Md Amin Hamzas, Ahmad Bareduan, Salleh, Liyana, Tajul, Mohd Sabri, Hussin, Zailani, Zainal Abidin, Hasnul, Hadi

    Published 2013
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  4. 4
    AUTOMATED GUIDED ROBOT (AGR)

    AUTOMATED GUIDED ROBOT (AGR) by Abd Rahim, Mohd Azlan Shah

    Published 2007
    “…Algorithm conversion to C code programming has been done throughout the project for the obstacle avoidance and path planning algorithms based upon the GA platform ofAI.…”
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  5. 5
    Vehicle pick-up and drop-off schedule optimization in a university setting

    Vehicle pick-up and drop-off schedule optimization in a university setting by Teo, Chun Kit

    Published 2024
    “…Lateness will be removed using a lateness waiting time rollback mechanism. A simulated annealing-based multi-directional iterative local search algorithm is employed for solution optimization. …”
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  6. 6
    An integrated reservoir modelling and evolutionary algorithm for optimizing field development in a mature fractured reservoir

    An integrated reservoir modelling and evolutionary algorithm for optimizing field development in a mature fractured reservoir by Sambo, C.H., Hematpour, H., Danaei, S., Herman, M., Ghosh, D.P., Abass, A., Elraies, K.A.

    Published 2016
    “…The second method is automatic optimization using Genetic Algorithm. That depends on the principle of natural selection as proposed by Darwin The genetic program was coupled with the reservoir flow model to re-evaluate the chosen wells at each iteration until obtaining the optimal choice. …”
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  7. 7
    Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures

    Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures by Koohi, Sina Zangbari

    Published 2020
    “…For these reasons, to improve the time and accuracy of the coverage in population-based meta-heuristics and their utilization in HPAs, this thesis presents a novel optimization algorithm called the Raccoon Optimization Algorithm (ROA). …”
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  8. 8
    Performance evaluation of m3 bottleneck based heuristic for M1M2M3 flow shop

    Performance evaluation of m3 bottleneck based heuristic for M1M2M3 flow shop by Md Amin Hamzas, Mohd Fidzwan, Ahmad Bareduan, Salleh, Hussin, M.S., Hasnul, M.J.

    Published 2012
    “…A total of 3000 simulations were conducted using randomly data in order to evaluate the accuracy of the heuristic. …”
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  9. 9
    Performance evaluation of m3 bottleneck based heuristic for M1M2M3 flow shop

    Performance evaluation of m3 bottleneck based heuristic for M1M2M3 flow shop by Mohd Fidzwan, Md Amin Hamzas, Ahmad Bareduan, Salleh, Mohd Sabri, Hussin, M. J., Hasnul, Asmawi, Sanuddin, Zailani, Zainal Abidin

    Published 2013
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  10. 10
    Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation

    Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation by Anwar, P. P. Abdul Majeed

    Published 2018
    “…A hardware-in-the-loop simulation is carried out to evaluate the appropriate gains of both the PD and the AFC inertial parameter gained that is tuned via the SKF algorithm. …”
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  11. 11
    Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation

    Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation by Anwar, P. P. Abdul Majeed

    Published 2018
    “…A hardware-in-the-loop simulation is carried out to evaluate the appropriate gains of both the PD and the AFC inertial parameter gained that is tuned via the SKF algorithm. …”
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  12. 12
    Methane plume localization with enhanced self-best reduction and Gaussian improved particle swarm optimization (GiPSO)

    Methane plume localization with enhanced self-best reduction and Gaussian improved particle swarm optimization (GiPSO) by Liew, Jia Hun

    Published 2024
    “…The research focuses on three questions to enhance the drone swarm optimization algorithm. These three questions steer the research in three separate domains, which helps the evaluation of the performance of our research. …”
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  13. 13
    Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari

    Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari by Sattari, Mohammad Reza Jabbarpour

    Published 2015
    “…AVCAF collects real-time traffic data through vehicular networks to consider non-recurring congestion conditions in its routing mechanism via ant-based algorithm. The proposed framework is evaluated and validated through simulation environment. …”
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  14. 14
    Profit Optimization of a Refrigerated Gas Plant

    Profit Optimization of a Refrigerated Gas Plant by Yusoff, Nooryusmiza, Ramasamy , Marappagounder, Yusup, Suzana

    Published 2007
    “…This requires continuous re-evaluation of the operating conditions through an efficient optimization algorithm. …”
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  15. 15
    Profit Optimization of a Refrigerated Gas Plant

    Profit Optimization of a Refrigerated Gas Plant by Yusoff, Nooryusmiza, Ramasamy , Marappagounder, Yusup, Suzana

    Published 2007
    “…This requires continuous re-evaluation of the operating conditions through an efficient optimization algorithm. …”
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  16. 16
    Profit Optimization of a Refrigerated Gas Plant

    Profit Optimization of a Refrigerated Gas Plant by Yusoff, Nooryusmiza, Ramasamy , Marappagounder, Yusup, Suzana

    Published 2007
    “…This requires continuous re-evaluation of the operating conditions through an efficient optimization algorithm. …”
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  17. 17
    End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels

    End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels by Mfarej, Sumaya Dhari Awad

    Published 2021
    “…Although the conventional algorithm, MMSE, outperforms the pro�posed algorithms when the number of pilots increased but it is not applicable in real transmission as it is required prior knowledge about the channel statistic which is not the case with DL-based estimators which rely only on the pilots. …”
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  18. 18
    Robust Kernel Density Function Estimation

    Robust Kernel Density Function Estimation by Dadkhah, Kourosh

    Published 2010
    “…The efficiency of the modified mutual information estimate is evaluated based on its accuracy. To do this evaluation, the mixtures of bivariate normal distribution with different percentage of contribution are simulated. …”
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  19. 19
    Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay

    Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay by Mohd Riduwan, Ghazali, Mohd Ashraf, Ahmad, Raja Mohd Taufika, Raja Ismail

    Published 2019
    “…This paper addresses a data-driven neuroendocrine-PID tuning for the control of a two-input-two-output (TITO) coupled tank system with sto-chastic input time delay based on safe experimentation dynamics (SED). …”
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  20. 20
    Optimization Of Fuzzy Logic Controllers With Genetic Algorithm For Two-Part-Type And Re-Entrant Production Systems

    Optimization Of Fuzzy Logic Controllers With Genetic Algorithm For Two-Part-Type And Re-Entrant Production Systems by Homayouni, Seyed Mahdi

    Published 2008
    “…A genetic algorithm is developed to tune the membership functions (MFs) of input variables of GDF and GSF controllers. …”
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