Search Results - (( java implementation modified algorithm ) OR ( using game based algorithm ))

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  1. 1

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
    “…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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    Thesis
  2. 2

    Dam haji game using A* search algorithm / Siti Farah Najwa Mukhlis by Mukhlis, Siti Farah Najwa

    Published 2017
    “…The results of this project is a Dam Haji game using A* algorithm which it is able to make legal movements based on the game’s rules and a matchup with a computer-based player that have gone through a process of computer learning to make movement based on the A* shortest path technique. …”
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    Thesis
  3. 3
  4. 4

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
    Review
  5. 5

    Knowledge-based system developement for the game congkak / Syah Ali Reza Yaacob by Yaacob, Syah Ali Reza

    Published 2006
    “…The agent will use Minimax and α-β pruning as the search algorithms. …”
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    Thesis
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    Mobile First-Person Shooter (FPS) Game Using Basic Theta* Algorithm / Muhammad Syurahbil Abd Rohaman by Abd Rohaman, Muhammad Syurahbil

    Published 2020
    “…The most common pathfinding algorithm used in video game is A*. Even though A* is the most popular algorithm amongst game developers, it's hardly the best algorithm in finding the true shortest path. …”
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    Thesis
  8. 8

    Prevention And Detection Mechanism For Security In Passive Rfid System by Khor, Jing Huey

    Published 2013
    “…The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). …”
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    Thesis
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    Automatic generation of content security policy to mitigate cross site scripting by Mhana, Samer Attallah, Din, Jamilah, Atan, Rodziah

    Published 2016
    “…It can be extended to support generating CSP for contents that are modified by JavaScript after loading. Current approach inspects the static contents of URLs.…”
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    Conference or Workshop Item
  11. 11

    Interactive jigsaw puzzle using backtracking algorithm / Amizah Mohd Kamaruzaman by Mohd Kamaruzaman, Amizah

    Published 2012
    “…The objective of this project is to study the various techniques to develop online jigsaw puzzle games. Based on the initial study, the Backtracking algorithm has been chosen as the most suitable algorithm to be used to develop the jigsaw puzzle according to available time and complexity of the algorithm. …”
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    Thesis
  12. 12

    Traditional marble game using ant colony optimization / Muhammad Izzat Imran Che Isa by Che Isa, Muhammad Izzat Imran

    Published 2017
    “…The study of traditional marble game will be implemented in a game prototype using Ant Colony Optimization (ACO). …”
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    Thesis
  13. 13

    Automatic generation of multi-objective neural game controllers using Pareto-based differential evolution by Chin, Kim On, Jason Teo, Chang, Kee Tong

    Published 2010
    “…This report is to investigate how well does Pareto-base Differential Evolution (POE) with a Neural controller perform in a RTS game. …”
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    Research Report
  14. 14

    Utility-based non-cooperative power control game in wireless environment / Yousef Ali Mohammed Al-Gumaei by Yousef Ali, Mohammed Al-Gumaei

    Published 2017
    “…Numerical simulations are used to prove the effectiveness of these algorithms compared with other existing power control algorithms. …”
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    Thesis
  15. 15

    Artificial neural controller synthesis for TORCS by Shi, Jun Long

    Published 2015
    “…NPC is an important factor in a game. Player can easily complete the game if the NPC used is too easy to be defeated. …”
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    Thesis
  16. 16

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

    Published 2013
    “…The Pareto Archived Evolution Strategy (PAES) algorithm is used to generate a Pareto optimal set of ANNs that optimize the conflicting objectives of maximizing game scores and minimizing neural network complexity. …”
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    Article
  17. 17

    Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game by Chang, Kee Tong

    Published 2015
    “…These problem can be solved using AI technology. Reinforcement is the process of strengthening an army and it is a crucial issue in gaming design as well. …”
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    Thesis
  18. 18

    Energy-efficient communications in wireless powered cognitive radio networks based on game theory / Fadhil Mukhlif Aswad Al-Obaidy by Fadhil Mukhlif , Aswad Al-Obaidy

    Published 2020
    “…In order to prove the effectiveness of such algorithms, numerical solutions are used in comparison with current power control algorithms. …”
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    Thesis
  19. 19

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

    Published 2013
    “…The Pareto Archived Evolution Strategy (PAES) algorithm is used to generate a Pareto optimal set of ANNs that optimize the conflicting objectives of maximizing game scores and minimizing neural network complexity. …”
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    Article
  20. 20

    Analysing ratio-based controllers against motivational game theory in peer-to-peer renewable energy trading by Abdullah Azahari, Abdul Aziz, Mohamad Hanif, Noor Hazrin Hany, Mohamed, Martina Muhaizira

    Published 2024
    “…Two controllers were used in this research work. The first controller uses an algorithm that distributes energy production based on the ratio of energy generated to energy demand, with the aim of minimizing wasted energy. …”
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    Proceeding Paper