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  1. 1
    Multi-base number representation in application to scalar multiplication and pairing computation

    Multi-base number representation in application to scalar multiplication and pairing computation by Mohammed Ismail, Abdelwahed

    Published 2011
    “…Providing new methods using chains beyond the binary chain will increase the efficiency and speed of elliptic based curve cryptosystems. …”
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  2. 2
    Computation of cryptosystem based on Lucas functions using addition chain

    Computation of cryptosystem based on Lucas functions using addition chain by Md Ali, Zulkarnain, Othman, Mohamed, Md. Said, Mohamad Rushdan, Sulaiman, Md. Nasir

    Published 2010
    “…Lucas Functions are the special form of second-order linear recurrence relation using a large public integer as modulus. In this paper, an efficient computation algorithm for LUC Cryptosystem is developed. …”
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  3. 3
    Development of bi-objective optimization model for supply chain network design using data envelopment analysis

    Development of bi-objective optimization model for supply chain network design using data envelopment analysis by Rahimi, Iman

    Published 2017
    “…Facility efficiency is recently focused by some scholars as a new objective in supply chain network. …”
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  4. 4
    Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty

    Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty by Liu, Lihua

    Published 2024
    “…Given the NP-Hard nature of the three models proposed in this thesis, two metaheuristic algorithms have been developed. A hybrid Particle Swarm Optimization-Bacterial Foraging Algorithm is developed for solving the single objective LIRP model. …”
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  5. 5
    Deep reinforcement learning-based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles

    Deep reinforcement learning-based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Rahman, Md. Arafatur, Alenezi, Ali H.

    Published 2022
    “…Two aspects (single-agent and multiagent) have assessed the efficiency of algorithms. Every aspect has been analyzed regarding the traffic flows: (1) the controlling efficiency of unexpected traffic situations by the sudden slowdown, (2) abrupt lane change, and (3) smoothly reaching the destination. …”
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  6. 6
    Deep reinforcement learning based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles

    Deep reinforcement learning based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Rahman, Md. Arafatur, Alenezi, Ali H.

    Published 2022
    “…Two aspects (single-agent and multi-agent) have assessed the efficiency of algorithms. Every aspect has been analyzed regarding the traffic flows: (1) the controlling efficiency of unexpected traffic situations by the sudden slowdown, (2) abrupt lane change, and (3) smoothly reaching the destination. …”
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  7. 7
    Detection of head position using chain code algorithm

    Detection of head position using chain code algorithm by Fuad, Norfaiza

    Published 2007
    “…Features from the image are train using the Chain Code Algorithm (CCA) to do recognition of the crux human head then do detecting process. …”
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  8. 8
    Detection of head position using chain code algorithm

    Detection of head position using chain code algorithm by Fuad, Norfaiza

    Published 2007
    “…Features from the image are train using the Chain Code Algorithm (CCA) to do recognition of the crux human head then do detecting process. …”
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  9. 9
    Multi-floor indoor location estimation system based on wireless local area network

    Multi-floor indoor location estimation system based on wireless local area network by Chua, Tien Han

    Published 2007
    “…The most probable match is selected and returned as estimated location based on Bayesian filtering algorithm. …”
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  10. 10
    Optimization of supply chain management by simulation based RFID with XBEE Network

    Optimization of supply chain management by simulation based RFID with XBEE Network by Soomro, Aftab Ahmed

    Published 2015
    “…In order to solve this problem, a simulation based “Multi-Colony Global Particle Swarm Optimization (MC-GPSO)” algorithm was developed. This algorithm computes the optimal results of objective functions in a scientific manner. …”
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  11. 11
    Ant colony optimization algorithm for load balancing in grid computing

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
    “…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization. …”
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  12. 12
    An optimization approach for a joint location inventory model considering quantity discount policy

    An optimization approach for a joint location inventory model considering quantity discount policy by Firoozi, Zahra, Tang, Sai Hong, Ariafar, Shahram, Mohd Ariffin, Mohd Khairol Anuar

    Published 2013
    “…An efficient two-stage heuristic algorithm is developed to solve the model. …”
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  13. 13
    An enhanced soft set data reduction using decision partition order technique

    An enhanced soft set data reduction using decision partition order technique by Mohammed, Mohammed Adam Taheir

    Published 2017
    “…The second contribution is enhancing the probability of search domain of Markov chain model. Furthermore, this research proposes an efficient Soft-Set Reduction accuracy based on Binary Particle Swarm optimized by Biogeography-Based Optimizer (SSR-BPSO-BBO) algorithm that can generate accurate decision for optimal and sub-optimal results. …”
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  14. 14
    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…The proposed method uses a rank accuracy estimation model to decide the rank-1 value to be applied for the decomposition. …”
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  15. 15
    Enhancing efficiency of automobile assembly line using the Fuzzy logical and Multi-objective Genetic Algorithm

    Enhancing efficiency of automobile assembly line using the Fuzzy logical and Multi-objective Genetic Algorithm by Adham, Ali A. J., Razman, Mat Tahar

    Published 2012
    “…The new technique in this study is use to develop the efficiency of the assembly line and to solve the unbalancing problem among stations. …”
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  16. 16
    Optimizing capacitated electric vehicle route in logistic operations

    Optimizing capacitated electric vehicle route in logistic operations by Tiong, Samuel Fu Wei

    Published 2024
    “…This project aims to develop an efficient route optimization algorithm for Capacitated Electric Vehicles (CEVs) in logistics, focusing on minimizing travel distance while adhering to vehicle capacity and battery limitations. …”
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  17. 17
    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing

    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
    “…A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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  18. 18
    Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi

    Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi by Seyed Mohsen , Mousavi

    Published 2018
    “…In order to solve the model, a multi-objective particle swarm optimization (MOPSO) approach was applied. The efficiency of the algorithm was compared to a multi-objective genetic algorithm (MOGA) as well. …”
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  19. 19
    Development of closed–loop supply chain network in terms of corporate social responsibility

    Development of closed–loop supply chain network in terms of corporate social responsibility by Pedram, A., Pedram, P., Yusoff, N., Sorooshian, S.

    Published 2017
    “…Due to the rise in awareness of environmental issues and the depletion of virgin resources, many firms have attempted to increase the sustainability of their activities. One efficient way to elevate sustainability is the consideration of corporate social responsibility (CSR) by designing a closed loop supply chain (CLSC). …”
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  20. 20
    Development of Closed–Loop Supply Chain Network in Terms of Corporate Social Responsibility

    Development of Closed–Loop Supply Chain Network in Terms of Corporate Social Responsibility by Pedram, Ali, Pedram, Payam, Nukman, Yusof, Sorooshian, Shahryar

    Published 2017
    “…Due to the rise in awareness of environmental issues and the depletion of virgin resources, many firms have attempted to increase the sustainability of their activities. One efficient way to elevate sustainability is the consideration of corporate social responsibility (CSR) by designing a closed loop supply chain (CLSC). …”
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