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  1. 1
    Intelligent Evolutionary Controller for Flexible Robotic Arm

    Intelligent Evolutionary Controller for Flexible Robotic Arm by Annisa, Jamali, Intan Z., Mat Darus

    Published 2020
    “…The developed evolutionary algorithms have been implemented and experimentally verified using robotic arm manipulator experimental rig. …”
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  2. 2
    Multi population traditional Evolutionary Programming approach for Distributed Generation / Mohd Nazmi Adnan

    Multi population traditional Evolutionary Programming approach for Distributed Generation / Mohd Nazmi Adnan by Adnan, Mohd Nazmi

    Published 2009
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  3. 3
    A novel hybrid evolutionary mating algorithm for Covid19 confirmed cases prediction based on vaccination

    A novel hybrid evolutionary mating algorithm for Covid19 confirmed cases prediction based on vaccination by Ahmed, Marzia, Ahmad Johari, Mohamad, Rahman, Mostafijur, Mohd Herwan, Sulaiman, Abul Kashem, Mohammod

    Published 2023
    “…Anticipating a positive COVID-19 occurrence helps in determining risks and creating countermeasures. As a result, developing robust mathematical models with small error margins for predictions is crucial. …”
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  4. 4
    A decomposition/aggregation method for solving electrical power dispatch problems

    A decomposition/aggregation method for solving electrical power dispatch problems by Mansor M.H., Irving M.R., Taylor G.A.

    Published 2023
    “…Each test system is decomposed into small areas and each area has been solved for Economic Dispatch (locally) using an Evolutionary Programming (EP) technique. …”
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  5. 5
    Parallel distributed genetic algorithm development based on microcontrollers framework

    Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

    Published 2023
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  6. 6
    Hybrid evolutionarybarnacles mating optimisation-artificial neural network based technique for solving economic power dispatch planning and operation / Nor Laili Ismail

    Hybrid evolutionarybarnacles mating optimisation-artificial neural network based technique for solving economic power dispatch planning and operation / Nor Laili Ismail by Ismail, Nor Laili

    Published 2024
    “…In this study, a new optimisation algorithm termed Hybrid Evolutionary-Barnacles Mating Optimisation (HEBMO) was initially formulated to solve optimisation problems. …”
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  7. 7
    i-Saturate: The New Discovery of Stopping Criterion in Genetic Algorithm

    i-Saturate: The New Discovery of Stopping Criterion in Genetic Algorithm by Foo, Fong Yeng, Suhaimi, Azrina, Soo, Kum Yoke

    Published 2020
    “…A stopping criterion for evolutionary algorithms like Genetic Algorithm (GA) is crucial in determining the optimum solution. …”
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  8. 8
    Sentiment mining using immune network algorithm /Raja Muhammad Hafiz Raja Kamarudin

    Sentiment mining using immune network algorithm /Raja Muhammad Hafiz Raja Kamarudin by Raja Kamarudin, Raja Muhammad Hafiz

    Published 2012
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  9. 9
    Adaptive Embedded Clonal Evolutionary Programming (AECEP) for optimal Distributed Generation (DG) location and sizing in a distribution system

    Adaptive Embedded Clonal Evolutionary Programming (AECEP) for optimal Distributed Generation (DG) location and sizing in a distribution system by Nur Zahirah, Mohd Ali

    Published 2013
    “…AI methods mainly include Artificial Neural Network (ANN), Expert System (ES), Genetic Algorithm (GA), Evolutionary Programming (EP), Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO). …”
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  10. 10
    An evolutionary approach for solving the job shop scheduling problem in a service industry

    An evolutionary approach for solving the job shop scheduling problem in a service industry by Yousefi M., Yousefi M., Hooshyar D., Oliveira J.A.S.

    Published 2023
    “…In this paper, an evolutionary-based approach based on the discrete particle swarm optimization (DPSO) algorithm is developed for finding the optimum schedule of a registration problem in a university. …”
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  11. 11
    Model and metaheuristics for robotic two-sided assembly line balancing problems with setup times

    Model and metaheuristics for robotic two-sided assembly line balancing problems with setup times by Li, Zixiang, Janardhanan, Mukund Nilakantan, Tang, Qiuhua, Ponnambalam, S. G.

    Published 2019
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  12. 12
    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the rate severity of fault detection per unit test cost. …”
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  13. 13
    Multi-objective portfolio selection with skewness preference: An application to the stock and electricity markets / Karoon Suksonghong

    Multi-objective portfolio selection with skewness preference: An application to the stock and electricity markets / Karoon Suksonghong by Karoon, Suksonghong

    Published 2014
    “…The superiority of this method is its ability to generate a set of MVS efficient portfolios within a single run of algorithm. The non-dominated sorting genetic algorithm II (NSGA-II), the improved strength Pareto evolutionary algorithm II (SPEA-II), and the compressed objective genetic algorithm II (COGA-II) were applied. …”
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  14. 14
    Computerized welding process selection and parameter determination

    Computerized welding process selection and parameter determination by A. Aregia, Tarek Abdelhadi

    Published 2010
    “…Farther more, evolutionary prototype is chosen as the system development methodology for this project. …”
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  15. 15
    Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi

    Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi by Hayder Faeq Rasool , Alhashimi

    Published 2025
    “…The SARSA algorithm determines optimal power allocation that enhances EE by investigating different power levels. …”
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