Search Results - (( developing table search algorithm ) OR ( java implication based algorithm ))

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  1. 1

    Course Time Table Scheduling for a Local College by Lee, Su Leong

    Published 2009
    “…The prototype software will be on a local search approach with reference to Hill Climbing with Random Walk algorithm and Best First Search algorithm. …”
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    Thesis
  2. 2

    Using artificial intelligence search in solving the camera placement problem by Altahir, A.A., Asirvadam, V.S., Hamid, N.H.B., Sebastian, P.

    Published 2022
    “…The chapter also carries out an analytical review of three main searching algorithms namely, generate and test, uninformed search, and hill climbing search algorithms. …”
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    Book
  3. 3

    Elitist hybrid migrating birds optimization and genetic algorithm based strategy for T-way test suite generation by Hasneeza Liza, Zakaria

    Published 2020
    “…Addressing the aforementioned issues, this research proposes the development and implementation of hybrid t-way strategy based Migrating Birds Optimization Algorithm (MBO) and Genetic Algorithm (GA) with elitism, termed Elitist Hybrid MBO-GA. …”
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    Thesis
  4. 4

    Modelling of multi-robot system for search and rescue by Poy, Yi Ler

    Published 2023
    “…This report focusses on developing a novel multi-robot path planning algorithm based on the Modified Particles Swarm Optimization (MPSO) algorithm for dynamic environments. …”
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    Final Year Project / Dissertation / Thesis
  5. 5

    Keyword search for doa retrieval using N-gram / Anis Safuraa Ahmad Tajudin by Ahmad Tajudin, Anis Safura

    Published 2015
    “…Thus, this project utilizes N-gram method for the search and retrieval process. Various words may have similar meaning and to increase the accuracy of the retrieved result, this project applies the dice and overlap coefficient algorithm to find the synonyms of the searched word. …”
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    Thesis
  6. 6

    Optimized feature construction methods for data summarizations of relational data by Sze, Florence Sia Fui

    Published 2014
    “…The proposed methods provide wider search space of valuable way to represent records in non-target table.…”
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    Thesis
  7. 7

    Simulation of identifying shortest path walkway in library by using ant colony optimization by Chui Teng, Chan

    Published 2012
    “…Therefore,by determining the shortest path will help in reducing the time consume problem.This project is developed by starting with designing the workflow diagram as well as the design of the output interface.The work flow is the guide for the process of development.In between,Heuristic Approach is used to determine the entire possible paths at first,then Ant Colony Optimization algorithm will be implemented to search for the final and the shortest path. …”
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    Undergraduates Project Papers
  8. 8

    Application of minimax algorithm in dots and boxes game by Tan, Ah Hwa

    Published 2025
    “…This was enhanced with several optimization techniques, including Alpha-Beta pruning, transposition tables, killer move heuristics, and quiescence search. …”
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    Final Year Project / Dissertation / Thesis
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  11. 11

    Modelling Autonomous Evacuation Navigation System (AENS) for optimal route using Dijkstra's algorithm by Abu Samah, Khyrina Airin Fariza

    Published 2016
    “…Through ST adaptation, all subsystems were integrated and using the “Dijkstra’s algorithm” (DA) by modifying its function from shortest path algorithm to safest and shortest algorithm, to the nearest exit. …”
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    Thesis
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  15. 15

    Efficient hybrid flooding scheme for ad-hoc on-demand distance vector routing protocol in MANET by Waheed, Bassam M.S.

    Published 2014
    “…Another prominent approach is the Dominant Pruning (DP) which is a distributed dominating set algorithm developed to alleviate the impact of flooding in mobile ad-hoc networks. …”
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    Thesis
  16. 16

    Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

    Published 2015
    “…In this data selection, the same or similar spam emails that have already been learned are quickly searched for a hash table using Locally Sensitive Hashing, and such spam emails are discarded without learning. …”
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    Thesis