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  1. 1
    Hybrid Artificial Bees Colony algorithms for optimizing carbon nanotubes characteristics

    Hybrid Artificial Bees Colony algorithms for optimizing carbon nanotubes characteristics by Mohammad Jarrah, Mu'ath Ibrahim

    Published 2018
    “…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
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  2. 2
    Selective harmonic elimination in cascaded H-bridge multilevel inverter using hybrid APSO algorithm / Mudasir Ahmed

    Selective harmonic elimination in cascaded H-bridge multilevel inverter using hybrid APSO algorithm / Mudasir Ahmed by Mudasir , Ahmed

    Published 2019
    “…The asynchronous particle swarm optimization (APSO)-newton raphson (NR) is proposed for low-level inverters, and APSO-genetic algorithm (GA) is proposed for high-level inverters. …”
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  3. 3
    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
    “…This algorithm computes the optimal results of objective functions in a scientific manner. …”
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  4. 4
    Determining penetration limit of central distributed generation topology in radial distribution networks

    Determining penetration limit of central distributed generation topology in radial distribution networks by Suliman, Mohamed Saad Abdelgadir

    Published 2021
    “…The biogeography based optimization method has been proven to have better performance than artificial bee colony, genetic algorithm, particle swarm optimization, hybrid of particle swarm optimization and constriction factor approach, and hybrid of ant colony optimization and artificial bee colony methods in terms of active power loss reduction. …”
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  5. 5
    Energy management system for optimal operation of microgrid consisting of PV, fuel cell and battery / Shivashankar Sukumar

    Energy management system for optimal operation of microgrid consisting of PV, fuel cell and battery / Shivashankar Sukumar by Shivashankar , Sukumar

    Published 2017
    “…The BESS sizing problem is solved using grey wolf optimizer (GWO), particle swarm optimization (PSO), artificial bee colony (ABC), gravitational search algorithm (GSA), and genetic algorithm (GA). …”
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  6. 6
    An Optimized Binary Scheduling Controller for Microgrid Energy Management Considering Real Load Conditions

    An Optimized Binary Scheduling Controller for Microgrid Energy Management Considering Real Load Conditions by Mannan M., Roslan M.F., Reza M.S., Mansor M., Jern K.P., Hossain M.J., Hannan M.A.

    Published 2024
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  7. 7
    Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin

    Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin by Nordin, Muhammad Hilmi

    Published 2014
    “…In this proposal paper, an optimization technique called the Particle Swarm Optimization (PSO) technique that is a meta-heuristic optimization technique, are proposed to solve the economic load dispatch problem. …”
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  8. 8
    Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing

    Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing by Elrasheed Ismail, Sultan

    Published 2013
    “…The choice of a scheduling strategy has significant impact on the runtime Central Processing Unit, memory consumption as well as the storage systems. Load balancing optimization techniques such as Ant Colony Optimization (ACO), First Come First Served (FCFS), Round Robin (RR) and Particle Swarm Optimization (PSO) are popular techniques being used for scheduling and load balancing. …”
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  9. 9
    Network Reconfiguration And Distributed Generation Sizing In Radial Distribution System Using Improved Evolutionary Particle Swarm Optimization

    Network Reconfiguration And Distributed Generation Sizing In Radial Distribution System Using Improved Evolutionary Particle Swarm Optimization by Napis, Nur Faziera

    Published 2017
    “…The third objective of this research is to validate the performance of the proposed technique with other optimization techniques, namely Particle Swarm Optimization (PSO) and Iteration Particle Swarm Optimization (IPSO). …”
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  10. 10
    An optimal load shedding approach for transmission networks using Particle Swarm Optimization (PSO) technique / Mohd Farid Mohd Rawi

    An optimal load shedding approach for transmission networks using Particle Swarm Optimization (PSO) technique / Mohd Farid Mohd Rawi by Mohd Rawi, Mohd Farid

    Published 2009
    “…This thesis presents an optimal load shedding approach for transmission networks using Particle Swarm Optimization (PSO). …”
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  11. 11
    RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review

    RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review by YEJIAO, WANG, KAMALUDIN, HAZALILA, MOHAMMED ALDUAIS, NAYEF ABDULWAHAB, MOHD SAFAR, NOOR ZURAIDIN, ZHONGCHAO, HAO

    Published 2024
    “…The RNP problem needs to consider multiple objectives and constraints such as coverage, conflicts, economic benefit, and load balance which have been proven to be optimized by swarm intelligent optimization algorithms. …”
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  12. 12
    Modified Particle Swarm Optimization with Time Varying Acceleration Coefficients for Economic Load Dispatch with Generator Constraints

    Modified Particle Swarm Optimization with Time Varying Acceleration Coefficients for Economic Load Dispatch with Generator Constraints by Abdullah, M.N., Bakar, Ab Halim Abu, Rahim, N.A., Mokhlis, Hazlie, Illias, Hazlee Azil, Jamian, J.J.

    Published 2014
    “…This paper proposes a Modified Particle Swarm Optimization with Time Varying Acceleration Coefficients (MPSO-TVAC) for solving economic load dispatch (ELD) problem. …”
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  13. 13
    An Application of Cuckoo Search Algorithm for Solving Optimal Chiller Loading Problem for Energy Conservation

    An Application of Cuckoo Search Algorithm for Solving Optimal Chiller Loading Problem for Energy Conservation by M. H., Sulaiman, Muhammad Ikram, Mohd Rashid, Mohd Rusllim, Mohamed, Omar, Aliman, Hamdan, Daniyal

    Published 2014
    “…This paper presents a recent swarm intelligence technique viz. Cuckoo Search Algorithm (CSA) for solving the Optimal Chiller Loading (OCL) problem for energy conservation. …”
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  14. 14
    A New Swarm Intelligence Approach for Optimal Chiller Loading for Energy Conservation

    A New Swarm Intelligence Approach for Optimal Chiller Loading for Energy Conservation by M. H., Sulaiman, Hassan, Ibrahim, Hamdan, Daniyal, Mohd Rusllim, Mohamed

    Published 2014
    “…This paper employs a recent swarm intelligence technique to solve optimal chiller loading (OCL) problem, namely differential search (DS) algorithm. …”
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  15. 15
    Particle swarm optimization technique for optimizing load flow analysis / Muhammad Syafiq Mohd Zaman

    Particle swarm optimization technique for optimizing load flow analysis / Muhammad Syafiq Mohd Zaman by Mohd Zaman, Muhammad Syafiq

    Published 2009
    “…Particle swarm optimization (PSO) is a stochastic global optimization algorithm inspired by social behavior of bird flocking in search of food, which is simple but powerful, and widely used as a problem solving technique to a variety of complex problems in science and engineering. …”
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  16. 16
    Particle swarm optimization technique for optimizing load flow analysis: article / Muhammad Syafiq Mohd Zaman

    Particle swarm optimization technique for optimizing load flow analysis: article / Muhammad Syafiq Mohd Zaman by Mohd Zaman, Muhammad Syafiq

    Published 2009
    “…Particle swarm optimization (PSO) is a stochastic global optimization algorithm inspired by social behavior of bird flocking in search of food, which is simple but powerful, and widely used as a problem solving technique to a variety of complex problems in science and engineering. …”
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  17. 17
    Optimal allocation and sizing of capacitor bank and distributed generation using particle swarm optimization

    Optimal allocation and sizing of capacitor bank and distributed generation using particle swarm optimization by El Tawil, Naji Ammar Mansour

    Published 2021
    “…The research work presented in this thesis had investigated the effect of two additional weather parameters, namely wind speed and rainfall, in addition to the temperature and relative humidity using artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in predicting the values of load demands. Moreover, the optimal allocation and sizing of the capacitor bank (C) and distributed generation (DG) were studied with the particle swarm optimization (PSO) technique to maintain the profile of bus voltages while reducing the energy loss of the network. …”
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  18. 18
    Swarm Evolutionary Programming Method for Optimal Under-Frequency Load Shedding Scheme

    Swarm Evolutionary Programming Method for Optimal Under-Frequency Load Shedding Scheme by Lu, Michelle

    Published 2017
    “…This thesis proposed a new method of incorporating swarm features into the optimization algorithm of Classical Evolutionary Programming (CEP) to derive optimal settings for the UFLS scheme. …”
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  19. 19
    A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding

    A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro

    Published 2023
    “…Hence, this article introduces an optimal UVLS method using a feedforward artificial neural network (ANN) model trained with the particle swarm optimization (PSO) algorithm to obtain the optimal load shedding amount for a distribution system. …”
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  20. 20
    A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding

    A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro

    Published 2023
    “…Hence, this article introduces an optimal UVLS method using a feedforward artificial neural network (ANN) model trained with the particle swarm optimization (PSO) algorithm to obtain the optimal load shedding amount for a distribution system. …”
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