Search Results - (( _ evacuation using algorithm ) OR ( java application optimization algorithm ))

Refine Results
  1. 1

    High Rise Building Evacuation Route Model Using DIJKSTRA'S Algorithm by Mohd Sabri, Nor Amalina

    Published 2015
    “…This research aims to assist the evacuees to find the shortest path in a high rise building using a shortest path algorithm. The objective is to design and develop an evacuation route using shortest path algorithm based on the evacuation map of the building. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  2. 2

    Adaptive emergency evacuation centre management for dynamic relocation of flood victims using firefly algorithm by Che Pa, Noraziah, Hashim, Nor Laily, Yusof, Yuhanis, Hussain, Azham

    Published 2016
    “…The proposed model operates using Firefly multi-objective optimization algorithm that creates an optimal schedule for the relocation of victims and resources for an evacuation centre. …”
    Get full text
    Get full text
    Get full text
    Article
  3. 3

    Revolutionizing crowd safety: A breakthrough hybrid whale-bat chaotic algorithm (WOABCM) for optimized evacuation simulations by Hamizan, Sharbini, Mohamad Shukor, Talib, Noorfa Haszlinna, Mustaffa, Habibollah, Haron

    Published 2024
    “…This groundbreaking approach to crowd evacuation simulation demonstrates how chaos theory-inspired algorithms can be used to solve practical problems.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    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. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  5. 5
  6. 6

    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
    Get full text
    Get full text
    Conference or Workshop Item
  7. 7

    Applied Artificial Bee Colony Optimization Algorithm in Fire Evacuation Routing System by Wang, Chen, Wood, Lincoln Christopher, Li, Heng, Aw, Zhenye, Keshavarzsaleh, Abolfazl

    Published 2018
    “…However, the existing fire evacuation routing models using various algorithm such as ant colony optimization or particle swarm optimization can neither properly interpret the delay caused by congestion during evacuation nor determine the best layout of emergency exit guidance signs; thus bee colony optimization is expected to solve the problem. …”
    Get full text
    Get full text
    Article
  8. 8

    Modification of dijkstra's algorithm for safest and shortest path during emergency evacuation by Khyrina Airin Fariza, Abu Samah, Burairah, Hussin, Abd Samad, Hasan Basari

    Published 2015
    “…The example is presented to compare the result obtained using the modified algorithm. Thus, it reveals the effectiveness of the modification in determining the best path for the evacuation process.…”
    Get full text
    Get full text
    Get full text
    Article
  9. 9

    The application of firefly algorithm in an adaptive emergency evacuation centre management (AEECM) for dynamic relocation of flood victims by Che Pa, Noraziah, Hashim, Nor Laily, Yusof, Yuhanis, Hussain, Azham

    Published 2016
    “…This study undergoes two main phases; development of algorithm and models, and development of a web-based and mobile app.The proposed model operates using Firefly multi-objective optimization algorithm that creates an optimal schedule for the relocation of victims and resources for an evacuation centre.The proposed decision aid model and the adaptive system can be applied in supporting the National Security Council’s respond mechanisms for handling disaster management level II (State level) especially in providing better management of the flood evacuating centres.…”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  10. 10

    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
    Get full text
    Get full text
    Final Year Project
  11. 11

    The Hybrid of WOABAT-IFDO Optimization Algorithm and Its Application in Crowd Evacuation Simulation by Hamizan, Sharbini, Roselina, Sallehuddin, Habibollah, Haron

    Published 2023
    “…The performance of the new hybrid optimization algorithm is verified using standard classical test function and further evaluated with other four renowned optimization algorithms and the results showed that it is better in most cases compared with the existing algorithms. …”
    Get full text
    Get full text
    Get full text
    Proceeding
  12. 12

    Flash flood evacuation with discrete particle swarm optimization / Marina Yusoff by Yusoff, Marina

    Published 2011
    “…Flash flood evacuation datasets from Malaysia were used in the experiment. myVAP-A using inertia weight with random capacity was found to give the best results compared to the other variations of experiment and outperformed a genetic algorithm (GA) with random vehicle capacity and a GA with sort ascending of vehicle capacity in solving the EVAP.…”
    Get full text
    Get full text
    Thesis
  13. 13
  14. 14

    Evacuation routing optimizer (EROP) / Azlinah Mohamed … [et al.] by Mohamed, Azlinah, Yusoff, Marina, Ariffin, Junaidah, Shamsudin, Siti Maryam

    Published 2011
    “…Computational experiments involve EVRP dataset from road network for flash flood evacuation in Johor State, Malaysia. The myDPSOVRPl and myDPSO_VRP_2 are respectively compared with a genetic algorithm (GA) using solution mapping for EVRP. …”
    Get full text
    Get full text
    Research Reports
  15. 15
  16. 16
  17. 17

    Firefly Algorithm for adaptive emergency evacuation center management by Yusof, Yuhanis, Hashim, Nor Laily, Che Pa, Noraziah

    Published 2016
    “…Flood disaster is among the most devastating natural disasters in the world, claiming more lives and causing property damage.The pattern of floods across all continents has been changing, becoming more frequent, intense and unpredictable for local communities.Due to unforeseen scenarios, some evacuation centers that host the flood victims may also be drowned.Hence, prime decision making is required to relocate the victims and resources to a safer center.This study proposes a Firefly Algorithm (FA) to be employed in an emergency evacuation center management. …”
    Get full text
    Get full text
    Get full text
    Article
  18. 18

    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
    “…Thus, this research proposes optimization using the one of the latest nature inspired algorithm namely WOABAT-IFDO (Whale-Bat and Improved Fitness-Dependent Optimization) in the SFM interaction component. …”
    Get full text
    Get full text
    Get full text
    Proceeding
  19. 19

    Flash flood evacuation with discrete particle swarm optimization / Marina Yusoff by Yusoff, Marina

    Published 2012
    “…Performance of each vehicle allocation was analyzed in four variations namely myVAP-A using inertia weight with random vehicle capacity, myVAP-A using inertia weight with sort ascending order of vehicle capacity, myVAP-A using CF with random vehicle capacity, and myVAP-A using CF with sort ascending of vehicle capacity.…”
    Get full text
    Get full text
    Book Section
  20. 20