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  1. 1
    Heuristic-Based Ant Colony Optimization Algorithm For Protein Functional Module Detection In Protein Interaction Network

    Heuristic-Based Ant Colony Optimization Algorithm For Protein Functional Module Detection In Protein Interaction Network by SALLIM, JAMALUDIN

    Published 2017
    “…Ant colony optimization (ACO) is a metaheuristic algorithm that has been successfully applied to several types of optimization problems such as scheduling, routing, and more recently for solving protein functional module detection (PFMD) problem in protein-protein interaction (PPI) networks. …”
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  2. 2
    Heuristic-Based Ant Colony Optimization Algorithm For Protein Functional Module Detection In Protein Interaction Network

    Heuristic-Based Ant Colony Optimization Algorithm For Protein Functional Module Detection In Protein Interaction Network by Sallim, Jamaludin

    Published 2017
    “…Ant colony optimization (ACO) is a metaheuristic algorithm that has been successfully applied to several types of optimization problems such as scheduling, routing, and more recently for solving protein functional module detection (PFMD) problem in protein-protein interaction (PPI) networks. …”
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  3. 3
    Ant colony optimization (ACO) algorithm for CNC route problem

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

    Published 2012
    “…However, the CNC machines do not choose the optimal route when completing their task and this caused the high cost problem on the machining. This project proposes a new optimization technique which applies ant behavior, for finding the optimal route in PCB holes drilling process. …”
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    Undergraduates Project Papers
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  4. 4
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  5. 5
    Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms

    Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms by Ali, Siti Khadijah, Fadzilan, Mohamad Faisal, Shaari, Aida Nur Syafiqah, Hadi, Muhamad Sukri, Ting, Rickey Pek Eek, Mat Darus, Intan Zaurah

    Published 2021
    “…Based on previous studies, most researchers nowadays use system identification (SI) as a modelling technique to develop a dynamic model of flexible structure via swarm intelligence algorithm (SIA). Therefore, two type of algorithms was used in this work for modelling development of flexible beam structure, which are ant colony optimization (ACO) and cuckoo search algorithm (CSA). …”
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  6. 6
    The study of ant colony optimization (ACO) parameters for STATCOM optimization / Melor Md Hodari

    The study of ant colony optimization (ACO) parameters for STATCOM optimization / Melor Md Hodari by Md Hodari, Melor

    Published 2010
    “…The proposed technique was tested using the standard IEEE 30-bus system and the capability of developed ACO in solving continuous optimization problems has been revealed as the added value in the algorithm.…”
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  7. 7
    The study of ant colony optimization (ACO) parameters for STATCOM optimization: article / Melor Md Hodari

    The study of ant colony optimization (ACO) parameters for STATCOM optimization: article / Melor Md Hodari by Md Hodari, Melor

    Published 2010
    “…The proposed technique was tested using the standard IEEE 30-bus system and the capability of developed ACO in solving continuous optimization problems has been revealed as the added value in the algorithm.…”
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  8. 8
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  9. 9
    Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network

    Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network by Abduh Kaid, Monir Abdullah

    Published 2005
    “…It is important to focus on an efficient solution to ,avoid crosstalk, which is routing traffic through an N x N optical network to avoid coupling two signals within each switching element.Under the constraint of avoiding crosstalk, we are interested in realising a permutation that will use the minimum number of passes to send all messages. This routing problem is an NPhard problem. Many algorithms are designed by many researchers to perform this routing such as window method, sequential algorithm, degree-descending algorithm, simulated annealing algorithm, genetic algorithm and ant colony algorithm.This thesis explores two approaches, sequential and parallel approaches. …”
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  10. 10
    Green vehicle traffic routing system using ant-based algorithm

    Green vehicle traffic routing system using ant-based algorithm by Jabbarpour, M.R., Noor, R.M., Khokhar, R.H.

    Published 2015
    “…Hence, in this paper, we present a green VTRS that reduces fuel consumption and consequently CO2 emissions via ant-based algorithm combined with fuel consumption model. …”
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  11. 11
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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    Proceeding Paper
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  12. 12
    Zero Algorithms for Avoiding Crosstalk in Optical Multistage Interconnection Network

    Zero Algorithms for Avoiding Crosstalk in Optical Multistage Interconnection Network by Ali Al-Shabi, Mohammed Abdulhameed

    Published 2005
    “…Under the constraint of avoiding crosstalk, the research interest is to realize a permutation that will use the minimum number of passes (to route the input request to output without crosstalk). This routing problem is an NP-hard problem. Many heuristic algorithms have been proposed and designed to perform the routing such as the sequential algorithm, the sequential down algorithm, the degree-ascending algorithm, the degree-descending algorithm, the Simulated Annealing algorithm and the Ant Colony algorithm. …”
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  13. 13
    Furrow and crypt detection using modified ant colony optimization for iris recognition / Zaheera Zainal Abidin

    Furrow and crypt detection using modified ant colony optimization for iris recognition / Zaheera Zainal Abidin by Zainal Abidin, Zaheera

    Published 2016
    “…As a solution, to improve the accuracy performance, this research proposes a new approach called as Modified Ant Colony Optimization that uses ant colony algorithm which search for crypts and radial furrow. …”
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  14. 14
    Furrow and crypt detection using Modified Ant Colony Optimization for iris recognition / Zaheera Zainal Abidin

    Furrow and crypt detection using Modified Ant Colony Optimization for iris recognition / Zaheera Zainal Abidin by Zainal Abidin, Zaheera

    Published 2016
    “…As a solution, to improve the accuracy performance, this research proposes a new approach called as Modified Ant Colony Optimization that uses ant colony algorithm which search for crypts and radial furrow. …”
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  15. 15
    Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm

    Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm by Mohamad Zunnurain Fauzi

    Published 2023
    “…Recently, the rapid growth development of the Distribution system has caused the problem arising due to the usage Distributed Generation (DG). …”
    text::Final Year Project
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  16. 16
    Applied Artificial Bee Colony Optimization Algorithm in Fire Evacuation Routing System

    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. …”
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  17. 17
    An ensemble of neural network and modified grey wolf optimizer for stock prediction

    An ensemble of neural network and modified grey wolf optimizer for stock prediction by Das, Debashish

    Published 2019
    “…Widespread models like Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Ant Colony Optimization (ACO), Evolutionary Strategy (ES) and Population-Based Incremental Learning (PBIL) dealing with the specified problems are also explored and compared. …”
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  18. 18
    Particle swarm optimization technique of current tracking controller for electric power-assisted steering system

    Particle swarm optimization technique of current tracking controller for electric power-assisted steering system by Bahmanshiri, Adel Amiri

    Published 2015
    “…Various control algorithms are derived in order to achieve the specified system characters. …”
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  19. 19
    Mitigating malicious nodes using trust and reputation based model in wireless sensor networks

    Mitigating malicious nodes using trust and reputation based model in wireless sensor networks by Abdullah, Muhammad Daniel Hafiz

    Published 2018
    “…In order to achieve this, different sets of trust information including QoS, OSNs and ant colony system (ACS) algorithm are proposed to improve the selection of trustworthy node. …”
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  20. 20
    Development of a hybrid machine learning model for rockfall source and hazard assessment using laser scanning data and GIS

    Development of a hybrid machine learning model for rockfall source and hazard assessment using laser scanning data and GIS by Fanos, Ali Mutar

    Published 2019
    “…This is because such incidence can cause serious injuries and fatalities as well as severe damage to buildings and infrastructure. …”
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