Search Results - (( intelligence sets based algorithm ) OR ( intelligence based agent algorithm ))

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  1. 1

    Modeling of static and dynamic components of bio-nanorobotic systems by Gavgani, Hamidreza Khataee

    Published 2012
    “…In addition, a graph algorithm based on greedy methods is employed to compute a new set of optimal weighted electronic properties of the fullerenes via computing their Minimum Weight Spanning Trees (MWSTs). …”
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    Thesis
  2. 2

    A coevolutionary multiobjective evolutionary algorithm for game artificial intelligence by Tse, Guan Tan, Teo, Jason Tze Wi, Rayner Alfred, Kim, On Chin

    Published 2013
    “…Recently, the growth of Artificial Intelligence (AI) has provided a set of effective techniques for designing computer-based controllers to perform various tasks autonomously in game area, specifically to produce intelligent optimal game controllers for playing video and computer games. …”
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    Article
  3. 3

    A coevolutionary multiobjective evolutionary algorithm for game artificial intelligence by Tse, Guan Tan, Jason, Teo, Kim, On Chin, Alfred, Rayner

    Published 2013
    “…Recently, the growth of Artificial Intelligence (AI) has provided a set of effective techniques for designing computer-based controllers to perform various tasks autonomously in game area, specifically to produce intelligent optimal game controllers for playing video and computer games. …”
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    Article
  4. 4

    Performance Analysis of Swarm Intelligence-Based Routing Protocol for Mobile Ad Hoc Network and Wireless Mesh Networks by Moghanjoughi, Ayyoub Akbari

    Published 2009
    “…In this research, Intelligent AntNet based Routing Algorithm (IANRA) is presented for routing in WMNs and MANET to find optimum and near-optimum paths for data packet routing. …”
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    Thesis
  5. 5

    Identifying football conflict using soft-set theory in Indonesia super league / Kukuh Wahyudin Pratama by Kukuh Wahyudin , Pratama

    Published 2021
    “…Motivated from the fact that every rough set is a soft set, this research derived an alternative algorithm to identify conflict situations from the point of view of soft set theory. …”
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    Thesis
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    Optimization Of Pid Controller Using Grey Wolf Optimzer And Dragonfly Algorithm by Nik Mohamed Hazli, Nik Muhammad Aiman

    Published 2018
    “…However, to fully utilize the algorithm, the parameter of the algorithm need to be set properly. …”
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    Monograph
  8. 8
  9. 9

    A New Grid Resource Discovery Framework by Mahamat Issa, Hassan, Azween , Abdullah

    “…The paper integrates ontology, peer-to-peer (P2P) network and intelligent agents to build the framework. The framework consists of an ontology model, an agent model, and a set of algorithms for implementing the P2P architecture and searching the shared resources. …”
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    Conference or Workshop Item
  10. 10
  11. 11

    A New Grid Resource Discovery Framework by Hassan, Mahamat I., Azween, Abdullah

    Published 2011
    “…The paper integrates ontology, peer-to-peer (P2P) network and intelligent agents to build the framework. The framework consists of an ontology model, an agent model, and a set of algorithms for implementing the P2P architecture and searching the shared resources. …”
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    Citation Index Journal
  12. 12

    A New Grid Resource Discovery Framework by Mahamat Issa, Hassan, Azween, Abdullah

    Published 2009
    “…The paper integrates ontology, peer-to-peer (P2P) network and intelligent agents to build the framework. The framework consists of an ontology model, an agent model, and a set of algorithms for implementing the P2P architecture and searching the shared resources. …”
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    Citation Index Journal
  13. 13
  14. 14

    Multi agent quality of service routing based on scheme ant colony optimization algorithm by Baygi, Maassoumeh Javadi

    Published 2014
    “…The important new aspect of ACR-QoS is the combination of constraint-based routing and DiffServ architecture, in Swarm Intelligence (SI) structure where a set of artificial ants is used to determine the optimal path for each class to construct class-based routing tables. …”
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    Thesis
  15. 15

    Optimizing the Social Force Model Using New Hybrid WOABAT-IFDO in Crowd Evacuation in Panic Situation by Hamizan, Sharbini, Roselina, Sallehuddin, Habibollah, Haron

    Published 2022
    “…There is a need for SFM to be incorporated with an intelligent approach in a simulation environment by adding in behaviour of following the position indicator to guide agents towards the exit to ensure minimal evacuation time. …”
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    Proceeding
  16. 16

    Artificial bee colony for inventory routing problem with backordering by Moin, N.H., Halim, H.Z.A.

    Published 2014
    “…We run the algorithm on a set of benchmark problems and the results are very encouraging.…”
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    Conference or Workshop Item
  17. 17

    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
    “…It synthesizes technical and humanities disciplines such as artificial intelligence (AI), virtual reality, behavioral psychology, cognitive science, design, agent-based modeling, scenario planning, Foresight, complex systems science, and others. …”
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    Article
  18. 18

    Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System by Hassan, Mahamat. I, Azween, Abdullah

    Published 2010
    “…We further introduce two intelligent agents to automate the discovery process which are Request Agent (RA) and Description Agent (DA). …”
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    Thesis
  19. 19

    Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System by HASSAN, MAHAMAT ISSA

    Published 2010
    “…We further introduce two intelligent agents to automate the discovery process which are Request Agent (RA) and Description Agent (DA). …”
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    Thesis
  20. 20

    A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

    Published 2021
    “…We propose a new reinforced active learning strategy based on a deep reinforcement learning algorithm. …”
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    Article