Search Results - (intelligent OR intelligence) system ((((gps algorithm) OR (ant algorithm))) OR (path algorithm))

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  1. 1
    Gait identification and optimisation for amphi-underwater robot by using ant colony algorithm

    Gait identification and optimisation for amphi-underwater robot by using ant colony algorithm by Mohd Yusof, Muhammad Syafiq, Toha @ Tohara, Siti Fauziah

    Published 2019
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  2. 2
    Performance Analysis of Swarm Intelligence-Based Routing Protocol for Mobile Ad Hoc Network and Wireless Mesh Networks

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

    Published 2009
    “…Ants’ algorithm belongs to the Swarm Intelligence (SI), which is proposed to find the shortest path. …”
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  3. 3
    A comparative performance analysis of computational intelligence techniques to solve the asymmetric travelling salesman problem

    A comparative performance analysis of computational intelligence techniques to solve the asymmetric travelling salesman problem by Odili, Julius Beneoluchi, Noraziah, Ahmad, Zarina, M.

    Published 2021
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  4. 4
    Heuristic factors in ant system algorithm for course timetabling problem

    Heuristic factors in ant system algorithm for course timetabling problem by Djamarus, Djasli, Ku-Mahamud, Ku Ruhana

    Published 2009
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  5. 5
    Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP).

    Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP). by Md Rais, Helmi, Ali Othman, Zulaiha, Hamdan, Abdul Razak

    Published 2007
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  6. 6
    A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots

    A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots by Ismail, Amelia Ritahani, Tumian, Afidalina

    Published 2019
    “…According to [13], the two best-known swarm intelligence algorithms are Particle Swarm Optimisation (PSO) and Ant Colony Optimisation (ACO). …”
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    Monograph
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  7. 7
    Efficient and scalable ant colony optimization based WSN routing protocol for IoT

    Efficient and scalable ant colony optimization based WSN routing protocol for IoT by Sharmin, Afsah, Anwar, Farhat, Motakabber, S. M. A.

    Published 2020
    “…For this reason, many intelligent systems have been utilized to design routing algorithms to handle the network's dynamic state. …”
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  8. 8
    A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy

    A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy by Agung Dewandaru, Agung

    Published 2008
    “…A simulator is developed as a test bed for the proposed algorithm for various scenarios, including the field experiment using Garmin e-Trex GPS Receiver. …”
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  9. 9
    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs

    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs by F. Al-dolaimy, F. Al-dolaimy, Rabei Raad Ali, Rabei Raad Ali, Noor Nabeel, Noor Nabeel

    Published 2023
    “…To achieve an efficient and reliable network performance, this paper proposes QoS Aware Hybrid Optimization for Improving Path Selection (HOIPSVANETs) in VANETs. This hybrid optimization combines the Improved ant colony optimization (ACO) and Effective Whale Optimization Algorithm (EWOA). …”
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  10. 10
    A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy

    A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy by Dewandaru, Agung

    Published 2008
    “…A simulator is developed as a test bed for the proposed algorithm for various scenarios, including the field experiment using Garmin e-Trex GPS Receiver. …”
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  11. 11
    A review on autonomous mobile robot path planning algorithms

    A review on autonomous mobile robot path planning algorithms by Noraziah, Adzhar, Yuhani, Yusof, Muhammad Azrin, Ahmad

    Published 2020
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  12. 12
    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs

    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs by F. Al-dolaimy, F. Al-dolaimy, Rabei Raad Ali, Rabei Raad Ali, Noor Nabeel, Noor Nabeel, Wisam Subhi Al-Dayyeni, Wisam Subhi Al-Dayyeni, Hashim Abbas, Fatima, Muhi Hariz, Hussein, A Mostafa, Salama, Jubair, Mohammed Ahmed

    Published 2023
    “…To achieve an efficient and reliable network performance, this paper proposes QoS Aware Hybrid Optimization for Improving Path Selection (HOIPSVANETs) in VANETs. This hybrid optimization combines the Improved ant colony optimization (ACO) and Effective Whale Optimization Algorithm (EWOA). …”
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  13. 13
    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs

    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs by F. Al-dolaimy, F. Al-dolaimy, Rabei Raad Ali, Rabei Raad Ali, Noor Nabeel, Noor Nabeel, Al-Dayyeni, Wisam Subhi, Hashim Abbas, Fatima, Muhi Hariz, Hussein, A Mostafa, Salama, Jubair, Mohammed Ahmed

    Published 2023
    “…To achieve an efficient and reliable network performance, this paper proposes QoS Aware Hybrid Optimization for Improving Path Selection (HOIPSVANETs) in VANETs. This hybrid optimization combines the Improved ant colony optimization (ACO) and Effective Whale Optimization Algorithm (EWOA). …”
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  14. 14
    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs

    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs by F. Al-dolaimy, F. Al-dolaimy, Rabei Raad Al, Rabei Raad Al, Noor Nabeel, Noor Nabeel, Wisam Subhi Al-Dayyeni4, Wisam Subhi Al-Dayyeni4, Hashim Abbas, Fatima, Muhi Hariz, Hussein, A Mostafa, Salama, Jubair, Mohammed Ahmed

    Published 2023
    “…To achieve an efficient and reliable network performance, this paper proposes QoS Aware Hybrid Optimization for Improving Path Selection (HOIPSVANETs) in VANETs. This hybrid optimization combines the Improved ant colony optimization (ACO) and Effective Whale Optimization Algorithm (EWOA). …”
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  15. 15
    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs

    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs by F. Al-dolaimy, F. Al-dolaimy, Rabei Raad Al, Rabei Raad Al, Noor Nabeel, Noor Nabeel, Wisam Subhi Al-Dayyeni, Wisam Subhi Al-Dayyeni, Fatima Hashim Abbas, Fatima Hashim Abbas, Hussein Muhi Hariz, Hussein Muhi Hariz, Salama A Mostafa, Salama A Mostafa, Mohammed Ahmed Jubair, Mohammed Ahmed Jubair

    Published 2023
    “…To achieve an efficient and reliable network performance, this paper proposes QoS Aware Hybrid Optimization for Improving Path Selection (HOIPSVANETs) in VANETs. This hybrid optimization combines the Improved ant colony optimization (ACO) and Effective Whale Optimization Algorithm (EWOA). …”
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  16. 16
    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs

    Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs by F. Al-dolaimy, F. Al-dolaimy, Rabei Raad Ali, Rabei Raad Ali, Noor Nabeel, Noor Nabeel, Wisam Subhi Al-Dayyeni, Wisam Subhi Al-Dayyeni, Fatima Hashim Abbas, Fatima Hashim Abbas, Hussein Muhi Hariz, Hussein Muhi Hariz, Salama A Mostafa, Salama A Mostafa, Mohammed Ahmed Jubair, Mohammed Ahmed Jubair

    Published 2023
    “…To achieve an efficient and reliable network performance, this paper proposes QoS Aware Hybrid Optimization for Improving Path Selection (HOIPSVANETs) in VANETs. This hybrid optimization combines the Improved ant colony optimization (ACO) and Effective Whale Optimization Algorithm (EWOA). …”
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  17. 17
    A Kalman Filter Approach to PCB Drill Path Optimization Problem

    A Kalman Filter Approach to PCB Drill Path Optimization Problem by Abdul Aziz, Nor Hidayati, Zuwairie, Ibrahim, Ab. Aziz, Nor Azlina, Saifudin, Razali, Abas, Khairul Hamimah, Mohamad, Mohd Saberi

    Published 2017
    “…This paper presents a Kalman Filter approach in solving printed circuit board (PCB) routing problem by using the Simulated Kalman Filter (SKF) algorithm. The experimental results are compared with those obtained by swarm intelligence approach, which are the Particle Swarm Optimization (PSO) variants, Ant Colony System (ACS) and Cuckoo Search (CS). …”
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  18. 18
    An Efficient Route Selection Based on AODV Algorithm for VANET

    An Efficient Route Selection Based on AODV Algorithm for VANET by Nassir Sallom , Kadhim, Mohammed, Muamer N., Mazlina, Abdul Majid, Sinan Q., Mohamd

    Published 2016
    “…The accident detection system which based on Global Positioning System (GPS) and Global System for Mobile communication (GSM) can be accomplish though one or several sensors, the system can gathers the information and coordinates of accident spot then send this data to the rescues services center over a network link in shortest time, In this paper, we propose enhance system that composed of a GPS receiver, Vibration sensor, GSM Modem and integrated with Vehicular AD-Hoc Network (VANET). …”
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  19. 19
    An Efficient Route Selection based on AODV Algorithm for VANET

    An Efficient Route Selection based on AODV Algorithm for VANET by Kadhim, Nassir, Mohammed, Muamer N., Mazlina, Abdul Majid, Mohamd, Sinan Q., Tao, Hai

    Published 2016
    “…The accident detection system which based on Global Positioning System (GPS) and Global System for Mobile communication (GSM) can be accomplished though one or several sensors, the system can gather the information and coordinates of accident spot, then send this data to the rescue services center over a network link in the shortest time, In this paper, we propose an enhanced system that composed of a GPS receiver, Vibration sensor, GSM Modem and integrated with Vehicular AD-Hoc Network (VANET). …”
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  20. 20
    Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari

    Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari by Sattari, Mohammad Reza Jabbarpour

    Published 2015
    “…Previous researches concentrated on using static algorithms to find the shortest path in VTRSs. However, providing a shortest path without considering other factors such as congestion, accidents, obstacles, travel time and speed is not a proper solution for vehicle traffic congestion problem. …”
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