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  1. 1
    Particle swarm optimization (PSO) for CNC route problem

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

    Published 2002
    “…We often see many of the method of Genetic Algorithm (GA), Ant Colony Optimization (ACO), Simulated Annealing Algorithm (SAA) and PSO are used for any optimization problems. …”
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    Undergraduates Project Papers
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  2. 2
    Data Analysis using Particle Swarm Optimization Algorithm

    Data Analysis using Particle Swarm Optimization Algorithm by Tai, Zu Jie

    Published 2015
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    Final Year Project / Dissertation / Thesis
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  3. 3
    An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP

    An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP by Bibi Aamirah Shafaa Emambocus, Muhammed Basheer Jasser, Muzaffar Hamzah, Aida Mustapha, Angela Amphawan

    Published 2021
    “…Since there is no known polynomial-time algorithm for solving large scale TSP, metaheuristic algorithms such as Ant Colony Optimization (ACO), Bee Colony Optimization (BCO), and Particle Swarm Optimization (PSO) have been widely used to solve TSP problems through their high quality solutions. …”
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  4. 4
    Using particle swarm optimization algorithm in the distribution system planning

    Using particle swarm optimization algorithm in the distribution system planning by Shamshiri, Meysam, Gan, Chin Kim, Jusoff, Kamaruzaman, Hasan, Ihsan Jabbar, Ab Ghani, Mohd Ruddin, Yusoff, Mariana

    Published 2013
    “…This paper utilizes the Particle Swarm Optimization (PSO) algorithm to solve the distribution planning problem with DG. …”
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  5. 5
    Using Particle Swarm Optimization Algorithm in the Distribution System Planning

    Using Particle Swarm Optimization Algorithm in the Distribution System Planning by Shamshiri, Meysam, Gan, Chin Kim, Mariana, Yusoff, Ab Ghani, Mohd Ruddin

    Published 2013
    “…This paper utilizes the Particle Swarm Optimization (PSO) algorithm to solve the distribution planning problem with DG. …”
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  6. 6
    Pumped-storage scheduling using particle swarm optimization / Amirul Asraf Razali

    Pumped-storage scheduling using particle swarm optimization / Amirul Asraf Razali by Razali, Amirul Asraf

    Published 2012
    “…This thesis presents the solution algorithm based on the particle swarm optimization (PSO) for solving the pumped-storage (P/S) scheduling problem. …”
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  7. 7
    A hybrid particle swarm optimization approach and its application to solving portfolio selection problems

    A hybrid particle swarm optimization approach and its application to solving portfolio selection problems by Shamshul Bahar, Yaakob, Prof. Madya, Watada, Junzo

    Published 2011
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  8. 8
    The design and applications of the african buffalo algorithm for general optimization problems

    The design and applications of the african buffalo algorithm for general optimization problems by Odili, Julius Beneoluchi

    Published 2017
    “…Some of the successfully designed stochastic algorithms include Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Particle Swarm Optimization, Bee Colony Optimization, Artificial Bee Colony Optimization, Firefly Optimization etc. …”
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  9. 9
    An introduction to swarming robotics: application development trends

    An introduction to swarming robotics: application development trends by Zainal Abidin, Zulkifli

    Published 2013
    “…It is very trying for a new researcher to understand the whole concept of swarming robotics (SR) and optimization algorithm (i.e. realizing the idea from animal's perception to the SR application). …”
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  10. 10
    Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling

    Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling by Anuar, Nurul Izah

    Published 2022
    “…Particle Swarm Optimization (PSO) is a population-based metaheuristic that possesses many advantages compared to other metaheuristics in solving scheduling problems. …”
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  11. 11
    Adaptive mechanism for enhanced performance of shark smell optimization / Nur Atharah Kamarzaman, Shahril Irwan Sulaiman and Intan Rahayu Ibrahim

    Adaptive mechanism for enhanced performance of shark smell optimization / Nur Atharah Kamarzaman, Shahril Irwan Sulaiman and Intan Rahayu Ibrahim by Kamarzaman, Nur Atharah, Sulaiman, Shahril Irwan, Ibrahim, Intan Rahayu

    Published 2021
    “…Numerical results indicate that the ASSO algorithm strategy outperforms the basic SSO algorithm, Genertic Algorithm (GA), Particle Swarm Intelligence (PSO), Firefly Algorithm (FA), Artificial Bee Colony (ABC) and Teaching Learning Based Optimization (TBLO) in term of reaching for global solution.…”
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  12. 12
    African Buffalo Optimization: A Swarm-Intelligence Technique

    African Buffalo Optimization: A Swarm-Intelligence Technique by Odili, Julius Beneoluchi, M. N. M., Kahar, Shahid, Anwar

    Published 2015
    “…Experiments carried out using the novel algorithm in solving some benchmark Travelling Salesman’s Problem when compared with the results from some popular optimization algorithms show that the ABO was not only able to obtain better solutions but at a faster speed.…”
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  13. 13
    Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman

    Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman by Ab Rahman, Muhammad Aqil

    Published 2014
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  14. 14
    A New Swarm Intelligence Technique for Solving Economic Dispatch Problem

    A New Swarm Intelligence Technique for Solving Economic Dispatch Problem by M. H., Sulaiman, Z. N., Zakaria, Muhammad Ikram, Mohd Rashid, S. R., Abdul Rahim

    Published 2013
    “…In this paper, a recent SI technique,namely differential search (DS) algorithm is implemented to solve ED problem. DS simulates the Brownian-like random-walk movement used by organisms to migrate. …”
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  15. 15
    Metaheuristic-Based Neural Network Training And Feature Selector For Intrusion Detection

    Metaheuristic-Based Neural Network Training And Feature Selector For Intrusion Detection by Ghanem, Waheed Ali Hussein Mohammed

    Published 2019
    “…Considering the wide success of swarm intelligence methods in optimization problems, the main objective of this thesis is to contribute to the improvement of intrusion detection technology through the application of swarm-based optimization techniques to the basic problems of selecting optimal packet features, and optimal training of neural networks on classifying those features into normal and attack instances. …”
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  16. 16
    A Preliminary Report on the Utilization of PSO for Solving the Hamiltonian Systems

    A Preliminary Report on the Utilization of PSO for Solving the Hamiltonian Systems by Irianto, Irianto

    Published 2014
    “…When one uses the Pontryagin’s Maximum Principle for solving fixed-time and fixedendpoint optimal control problems, one will face a Hamiltonian system. …”
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  17. 17
    Long-term optimal planning for renewable based distributed generators and battery energy storage systems toward enhancement of green energy penetration

    Long-term optimal planning for renewable based distributed generators and battery energy storage systems toward enhancement of green energy penetration by ALAhmad A.K., Verayiah R., Shareef H.

    Published 2025
    “…The backward reduction method (BRM) is then applied to streamline the number of generated scenarios, reducing computational efforts. To solve the optimization planning model, a hybrid optimization algorithm is proposed, combining the non-dominating sorting genetic algorithm (NSGAII) and multi-objective particle swarm optimization (MOPSO). …”
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  18. 18
    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. …”
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  19. 19
    Image watermarking optimization algorithms in transform domains and feature regions

    Image watermarking optimization algorithms in transform domains and feature regions by Tao, Hai

    Published 2012
    “…The achieved tradeoffs from these techniques between imperceptibility and robustness are controversial.To solve this problem,this study proposes the application of artificial intelligent techniques into digital watermarking by using discrete wavelet transform (DWT) and singular value decomposition (SVD).To protect the copyright information of digital images,the original image is decomposed according to two-dimensional discrete wavelet transform.Subsequently the preprocessed watermark with an affined scrambling transform is embedded into the vertical subband (HLm) coefficients in wavelet domain without compromising the quality of the image.The scaling factors are trained with the assistance of Particle Swarm Optimization (PSO).A new algorithmic framework is used to forecast feasibility of hypothesized watermarked images.In addition,the novelty is to associate the Hybrid Particle Swarm Optimization (HPSO),instead of a single optimization,as a model with SVD.To embed and extract the watermark,the singular values of the blocked host image are modified according to the watermark and scaling factors. …”
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  20. 20
    Intelligently tuned weights based robust H∞ controller design for pneumatic servo actuator system with parametric uncertainty

    Intelligently tuned weights based robust H∞ controller design for pneumatic servo actuator system with parametric uncertainty by Ali, Hazem Ibrahim, Mohd Noor, Samsul Bahari, Bashi, Sinan Mahmod, Marhaban, Mohammad Hamiruce

    Published 2011
    “…The PSO algorithm is used to minimize the infinity norm of the transfer functions matrix of the nominal closed loop system to obtain the optimal parameters of the weighting function. …”
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