Search Results - (( parallel optimization modified algorithm ) OR ( user optimization path algorithm ))

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  1. 1

    Railway shortest path planner application using ant colony optimization algorithm / Muhammad Hassan Firdaus Ruslan by Ruslan, Muhammad Hassan Firdaus

    Published 2017
    “…For the process module, Ant Colony Optimization (ACO) algorithm was used to find the shortest path. …”
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    Thesis
  2. 2

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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    Thesis
  3. 3

    Particle swarm optimization (PSO) for CNC route problem by Nur Azia Azwani, Ismail

    Published 2002
    “…The algorithm used in this project is the Global Best (gbest) algorithm where it is a basic algorithm of Particle Swarm Optimization which applicable the shortest time and path of CNC machine to complete the process of drilling. …”
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    Undergraduates Project Papers
  4. 4

    Ant colony optimization (ACO) algorithm for CNC route problem by Wan Nur Farhanah , Wan Zakaria

    Published 2012
    “…The GUT will be display the shortest path that should be taken by user and give user authority to manipulate the coordinate based on the requirement.…”
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    Undergraduates Project Papers
  5. 5

    An efficient virtual tour : a merging of path planning and optimization by Abd Latiff, Muhammad Shafie, Hassan, Rohayanti

    Published 2004
    “…This paper describes the result of a research project aimed to integrate a path-planning optimization-algorithm and produce an efficient tour in a virtual environment. …”
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    Article
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    Shortest Path Routing Using Heuristic Search by Alaiwan, Ahmed Omran A.

    Published 2006
    “…To achieve the best path, there are many algorithms which are more or less effective, depending on the particular case. …”
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    Thesis
  9. 9

    Path planning for visually impaired people in an unfamiliar environment using particle swarm optimization by Yusof, T. S. T., Toha, Siti Fauziah, Md. Yusof, Hazlina

    Published 2015
    “…Here, in this paper, we propose a path planning with predetermined waypoints method using Particle Swarm Optimization (PSO) algorithm. …”
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    Article
  10. 10

    AUTOMATIC ROUTE FINDER FOR NEW VISITORS by ADNAN, MOHD SHIHAM

    Published 2006
    “…This project proposes a new visitor route model that is based on shortest path algorithms for road networks. Shortest path problems are among the best studied network flow optimization problems, with interesting applications in a range of fields. …”
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    Final Year Project
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    Robotic path planning using rapidly-exploring random trees by Sherwani, Fahad

    Published 2013
    “…However, the planned path by using basic RRT structure might not always be optimal in terms of path length. …”
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    Thesis
  12. 12

    Parallel multiple tabu search for multiobjective Urban Transit Scheduling Problem by Uvaraja, Vikneswary, Lai, Soon Lee, Abd Rahmin, Nor Aliza, Hsin, Vonn Seow

    Published 2020
    “…A set covering model was then adopted to minimize the number of buses and drivers simultaneously. A parallel tabu search algorithm was proposed to solve the problem by modifying the initialization process and incorporating intensification and diversification approaches to guide the search effectively from the different feasible domain in finding optimal solutions with lesser computational effort. …”
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    Article
  13. 13

    PLANNING OF MULTIPLE FEEDERS ELECTRICAL DISTRIBUTION SYSTEM by NORDIN, AHMAD SOLLEHIN

    Published 2011
    “…In this project, several algorithms are implemented to design an electrical distribution system which are (1) Optimal Feeder Path Algorithm, (2) Modified Load Flow Algorithm, (3) Optimal Branch Conductor Selection Algorithm, and ( 4) Optimal Location of Substation Algorithm. …”
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    Final Year Project
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    Development of optimization Alghorithm for uncertain non-linear dynamical system by Abdul Aziz, Mohd. Ismail, Yaacob, Nazeeruddin, Mohd. Said, Norfarizan, Hamzah, Nor Hazadura

    Published 2004
    “…An algorithm that definitely can satisfy the objectives is the Dynamic Integrated Systems Optimization and Parameter Estimation (DISOPE) algorithm. …”
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    Monograph
  15. 15

    Systematic design of chemical reactors with multiple stages via multi-objective optimization approach by Mohd Fuad, Mohd Nazri, Hussain, Mohd Azlan

    Published 2015
    “…By using reference-point based multi-objective evolutionary algorithm (R-NSGA-II), Pareto-optimal solutions are successfully generated within the region of user-specified reference points, thus facilitating in the selection of final optimal designs. …”
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    Conference or Workshop Item
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    The Effect of Rainfall on the UAV Placement for 5G Spectrum in Malaysia by Shalaby A.M., Othman N.S.

    Published 2023
    “…The problem of finding the UAV 3D placement is formulated with the objective to minimize the total path loss between the UAV and all users. The problem is solved by invoking two algorithms, namely Particle Swarm Optimization (PSO) and Gradient Descent (GD) algorithms. …”
    Article
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    Review of the grey wolf optimization algorithm: variants and applications by Liu, Yunyun, As’arry, Azizan, Hassan, Mohd Khair, Hairuddin, Abdul Aziz

    Published 2023
    “…The paper begins with a concise introduction to the GWO, providing insight into its natural establishment and conceptual framework for optimization. It then lays out the theoretical foundation and key procedures involved in the GWO, following which it comprehensively examines the most recent iterations of the algorithm and categorizes them into parallel, modified, and hybridized variations. …”
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    Article
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    A modified artificial neural network (ANN) algorithm to control shunt active power filter (SAPF) for current harmonics reduction by Sabo, Aliyu, Abdul Wahab, Noor Izzri, Mohd Radzi, Mohd Amran, Mailah, Nashiren Farzilah

    Published 2013
    “…The novelty control design is an artificial neural network (ANN) adopting a modified mathematical algorithm (a modified delta rule weight-updating W-H) and a suitable alpha value (learning rate value) which determines the filters optimal operation. …”
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    Conference or Workshop Item
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