Search Results - need-((((forward optimization) OR (storage optimization))) OR (swarm optimization)) algorithm

Refine Results
  1. 1

    Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari by Mohammed , Heydari

    Published 2017
    “…An improved particle swarm algorithm (HPSOGA) is used to solve complex problems of water resources optimization. …”
    Get full text
    Get full text
    Get full text
    Thesis
  2. 2

    Optimal placement and sizing of distributed generation in radial distribution networks using particle swarm optimization and forward backward sweep method by Lawal, Sani Mohammed

    Published 2012
    “…The minimization of this fluctuation that leads to derailing from the nominal voltage need to be emphasized. To achieve the set target, particle swarm optimization (PSO) is used as an optimization technique. …”
    Get full text
    Get full text
    Thesis
  3. 3

    Optimized range-free localization scheme using autonomous groups particles swarm optimization for anisotropic wireless sensor networks by Han, Fengrong, Izzeldin, Ibrahim Mohamed Abdelaziz, Kamarul Hawari, Ghazali, Zhao, Yue, Li, Ning

    Published 2023
    “…However, it demonstrated extremely poor accuracy under anisotropic networks, which is an urgent problem that need to be addressed. Accordingly, an optimized DV-Hop localization algorithm is put forward in this study with considering several anisotropic factors. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    Optimization of Radial Distribution Network with Distributed Generation Using Particle Swarm Optimization Considering Load Growth by Abdullah, M.A.A., Mohd Saad, N., Abas, M.F., Jaalam, N., Ali, A.

    Published 2022
    “…This article presents a combination of particle swarm optimization (PSO) algorithm and the backward/forward sweep power flow (BFSPF) approach to determine the optimal bus location and size of distributed generation (DG) in a radial distribution network (RDN) considering the load growth. …”
    Get full text
    Get full text
    Article
  5. 5

    Optimization of radial distribution network with distributed generation using particle swarm optimization considering load growth by Muhammad Al Amin, Abdullah, Norhafidzah, Mohd Saad, Mohammad Fadhil, Abas, Norazila, Jaalam, Ali, Abid

    Published 2022
    “…This article presents a combination of particle swarm optimization (PSO) algorithm and the backward/forward sweep power flow (BFSPF) approach to determine the optimal bus location and size of distributed generation (DG) in a radial distribution network (RDN) considering the load growth. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  6. 6

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

    Published 2017
    “…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. …”
    Get full text
    Get full text
    Thesis
  7. 7

    Differential evolution for neural networks learning enhancement by Ismail Wdaa, Abdul Sttar

    Published 2008
    “…These algorithms can be used successfully in many applications requiring the optimization of a certain multi-dimensional function. …”
    Get full text
    Get full text
    Get full text
    Thesis
  8. 8

    Techno-economic optimization and modelling of grid-connected photovoltaic and battery energy storage system by Gopinath Subramani

    Published 2023
    “…Optimization was performed via MATLAB using particle swarm optimization (PSO) and Genetic Algorithms (GA) techniques. …”
    text::Thesis
  9. 9
  10. 10

    Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm by Muhammad Syahril Mohamad Sainal

    Published 2022
    “…Meta-heuristic algorithms are mostly used to solve this problem. For example, Genetic Algorithm with Particle Swarm Optimization, Genetic Algorithm with Artificial Bee Colony Algorithms (ABC) and Genetic Algorithm with Ant Colony Optimization Algorithms. …”
    Get full text
    Get full text
    Get full text
    Academic Exercise
  11. 11

    Improving robot Darwinian particle swarm optimization using quantum-behaved swarm theory for robot exploration and communication / Duaa Mehiar by Duaa , Mehiar

    Published 2021
    “…Despite the significance of the Robotic Darwinian Particle Swarm Optimization (RDPSO) algorithm on swarm-robot exploration and communication, there remain notable gaps such as premature and slow convergence, collisions between robots, and communication breaks and constraints. …”
    Get full text
    Get full text
    Get full text
    Thesis
  12. 12

    Score Fusion Using Hybrid Bacterial Foraging Optimization And Particle Swarm Optimization (Bfo-Pso) For Hand-Based Multimodal Biometrics by Shanmugasundaram, Karthikeyan

    Published 2020
    “…Most researches related to Swarm Intelligence (SI) algorithms have done on the particular, due to the need to integrate more than one SI algorithm for better results. …”
    Get full text
    Get full text
    Thesis
  13. 13

    Optimization of multi-holes drilling path using particle swarm optimization by Najwa Wahida, Zainal Abidin, M. F. F., Ab Rashid, N. M. Zuki, N. M.

    Published 2018
    “…PSO is also compared with another algorithm like Whale Optimization Algorithm, Ant Lion Optimizer, Dragonfly Algorithm, Grasshopper Optimization Algorithm, Moth-flame Optimization and Sine Cosine Algorithm. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Book Chapter
  14. 14

    Extended bat algorithm for PID controller tuning of wheeled mobile robot and swarm robotics target searching strategy by Nur Aisyah Syafinaz, Suarin

    Published 2020
    “…There are many factors that might contribute to that condition e.g. controller, algorithm and communication. Each robot in the swarm needs to be equipped with good controller, e.g. robust PID controller. …”
    Get full text
    Get full text
    Thesis
  15. 15

    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
    “…Therefore, this study reviews smart factories, RFID technology, swarm intelligence optimization algorithms and RFID network planning. …”
    Get full text
    Get full text
    Get full text
    Article
  16. 16

    A Navigation Strategy for Swarm Robotics Based on Bat Algorithm Optimization Technique by Nur Aisyah Syafinaz, Suarin, Pebrianti, Dwi, Bayuaji, Luhur, Muhammad, Syafrullah, Zulkifli, Musa

    Published 2018
    “…This paper aims to adapt Bat Algorithm (BA) optimization techniques to the swarm robotics system. …”
    Get full text
    Get full text
    Conference or Workshop Item
  17. 17

    Metaheuristic algorithms for solving lot-sizing and scheduling problems in single and multi-plant environments / Maryam Mohammadi by Mohammadi, Maryam

    Published 2015
    “…Metaheuristic approaches namely genetic algorithm, particle swarm optimization, artificial bee colony, simulated annealing, and imperialist competitive algorithm are adopted for the optimization procedures. …”
    Get full text
    Get full text
    Thesis
  18. 18
  19. 19

    A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application by Zainal Abidin, Zulkifli

    Published 2011
    “…Present paper intends to provide a detailed description of a new bio-inspired Metaheuristic Algorithm. Based on the detailed study of the Drosophila, the flowchart behaviour for the algorithm, code implementation, methodologies and simulation analysis, a novel Fly Optimization Algorithm (FOA) approach is presented. …”
    Get full text
    Get full text
    Get full text
    Article
  20. 20

    A survey : particle swarm optimization-based algorithms for grid computing scheduling systems. by Ambursa, Faruku Umar, Latip, Rohaya

    Published 2013
    “…Bio-inspired heuristics have been promising in solving complex scheduling optimization problems. Several researches have been conducted to tackle the problems of task scheduling for the heterogeneous and dynamic grid systems using different bio-inspired mechanisms such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO). …”
    Get full text
    Get full text
    Get full text
    Article