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  1. 1
    A collaborative agent based green IS practice assessment tool for environmental sustainability attainment in enterprise data centers

    A collaborative agent based green IS practice assessment tool for environmental sustainability attainment in enterprise data centers by Anthony, Bokolo Jnr., Mazlina, Abdul Majid, Awanis, Romli

    Published 2018
    “…Purpose; The purpose of this paper is to develop a collaborative agent-based web architecture and an agent-based green IS assessment tool to aid information technology (IT) practitioners in data centers assess their current green information systems (IS) practice toward attaining sustainability. …”
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  2. 2
    A study on multi-agent systems for stable matching

    A study on multi-agent systems for stable matching by Mohd Syakirin, Ramli

    Published 2015
    “…The focal point of investigation in MAS has not only surrounded on the development of the control algorithms, but nowadays covers on the practically to use MAS as one of the problem solvers in the other fields of studies.…”
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  3. 3
    Coordinate-Descent Adaptation over Hamiltonian Multi-Agent Networks

    Coordinate-Descent Adaptation over Hamiltonian Multi-Agent Networks by Azam Khalili, Vahid Vahidpour, Amir Rastegarnia, Ali Farzamnia, Teo, Kenneth Tze Kin, Saeid Sanei

    Published 2021
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  4. 4
    Microscopic control and optimization of traffic network with Q-Learning algorithm

    Microscopic control and optimization of traffic network with Q-Learning algorithm by Chin, Yit Kwong

    Published 2013
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  5. 5
    Development of a Negotiation Support Model for Value Management in Construction

    Development of a Negotiation Support Model for Value Management in Construction by UTOMO, CHRISTIONO

    Published 2009
    “…The research objectives are to find a theoretical basis and research approach for negotiation support methodology on VM, to develop a decision model for technical solution options in a satisfying function/cost preferences, to investigate negotiation style and outcome and analyze the correlation between them for the basis of scenarios on the agent system, to develop a model for agreement options and coalition algorithms on value-based decision, to validate the coalition algorithms and introduce an initial model of Negotiation Support for Value Management (NSVM). …”
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  6. 6
    Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function

    Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function by Tan, Min Keng

    Published 2019
    “…This study aims to explore the potential of implementing multi-agent-based Genetic Algorithm (GA) with interactive metamodel to acquire regular optimisation on dynamic characteristic of traffic flow. …”
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  7. 7
    Multi-agent reinforcement learning for Bai ethnic traditional dwelling protection in Dali : cultural identity-oriented community relationship optimization and urbanization adaptation algorithm.

    Multi-agent reinforcement learning for Bai ethnic traditional dwelling protection in Dali : cultural identity-oriented community relationship optimization and urbanization adaptati... by Xiaohua, Qian, Neilson Ilan, Mersat, Haslina, Hashim, Bemen Wong, Win Keong

    Published 2025
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  8. 8
    Box-jenkins and genetic algorithm hybrid model for electricity forecasting system

    Box-jenkins and genetic algorithm hybrid model for electricity forecasting system by Mahpol, Khairil Asmani

    Published 2005
    “…Energy is considered a prime agent in the generation of wealth and also a significant factor in economic development. …”
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  9. 9
    A flowchart-based multi-agent system for assisting novice programmers with problem solving activities

    A flowchart-based multi-agent system for assisting novice programmers with problem solving activities by Hooshyar D., Ahmad R.B., Raj R.G., Nizam M.H.N.M., Yousefi M., Horng S.-J., Rugelj J.

    Published 2023
    “…In order to address this problem, FMAS, a flowchart-based multi-agent system is developed to familiarize students who have no prior knowledge of programming, with the initial stages in learning programming. …”
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  10. 10
    Simulated Kalman Filter algorithms for solving optimization problems

    Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

    Published 2019
    “…Its optimality has inspired the development of a metaheuristic algorithm called Heuristic Kalman Algorithm (HKA) in 2009. …”
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  11. 11
    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
    “…Decision algorithms are based on the cooperative game theory to develop the agreement options and coalition formation. …”
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  12. 12
    The AI-Driven Transformative Potential of the Gaming Industry for Economy and Society

    The AI-Driven Transformative Potential of the Gaming Industry for Economy and Society by Yi Qin, Tee, Abdullah, Nor Hazana, Mohd Emran, Natrah

    Published 2024
    “…This study contributes to informing policy rationale for the use of AI for game development for various purposes, including strategic planning practices.…”
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  13. 13
    Human evacuation movement simulation model: Concepts and techniques

    Human evacuation movement simulation model: Concepts and techniques by Noor Akma, Abu Bakar, Lim, Siew Mooi, Abdul Majid, Mazlina

    Published 2022
    “…A program with a running algorithm of a computer model is called a computer simulation. …”
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  14. 14
    Human evacuation movement simulation model: Concepts and techniques

    Human evacuation movement simulation model: Concepts and techniques by Noor Akma, Abu Bakar, Lim, Siew Mooi, Abdul Majid, Mazlina

    Published 2022
    “…A program with a running algorithm of a computer model is called a computer simulation. …”
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  15. 15
    Using genetic algorithms to optimise land use suitability

    Using genetic algorithms to optimise land use suitability by Pormanafi, Saeid

    Published 2012
    “…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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  16. 16
    Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems

    Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems by Nor Sakinah, Abdul Shukor

    Published 2019
    “…So far, the tuning methods used for data-driven PID for the underactuated systems are mostly based on the multi-agent-based optimization, which means that the design requires substantial computation time and make it not practical for on-line tuning applications. …”
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  17. 17
    Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems

    Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems by Nor Sakinah, Abdul Shukor

    Published 2019
    “…So far, the tuning methods used for data-driven PID for the underactuated systems are mostly based on the multi-agent-based optimization, which means that the design requires substantial computation time and make it not practical for on-line tuning applications. …”
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  18. 18
    Hybrid Models Of Fuzzy Artmap And Qlearning For Pattern Classification

    Hybrid Models Of Fuzzy Artmap And Qlearning For Pattern Classification by Navan, Farhad Pourpanah

    Published 2015
    “…To further improve the robustness of QFAM-based models, the notion of multi agent systems is employed. As a result, an agent-based QFAM ensemble model with a new trust measurement and negotiation method is proposed. …”
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  19. 19
    Gibbs excess energy model to predict phase behaviour of brine/oil/surfactant mixtures for Chemical Enhanced Oil Recovery CEOR methods

    Gibbs excess energy model to predict phase behaviour of brine/oil/surfactant mixtures for Chemical Enhanced Oil Recovery CEOR methods by Adeeyo, Y.A., Awang, M.B.

    Published 2016
    “…Surfactant (surface acting agent) reduces IFT and has been tested to be appropriate for use under reservoir condition. …”
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