Search Results - ((((solution optimization) OR (evolution optimization))) OR (simulation optimization)) techniques

Refine Results
  1. 1

    Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio... by Daba, Layth Muwafaq Abdulhussein

    Published 2023
    “…Enabling more optimality and adaptability to the dynamic nature of CDTO, we propose a novel Variable-Length multi-objective Whale optimization Integrated with Differential Evolution designated as VL-WIDE for joint cloudlet deployment and tasks offloading. …”
    Get full text
    Get full text
    Thesis
  2. 2
  3. 3
  4. 4

    Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem by Ismail, Zuhaimy, Nurhadi, Irhamah, Zainuddin, Zaitul Marlizawati

    Published 2008
    “…Simulated Annealing is a global optimization technique which traverses the search space by generating neighboring solutions of the current solution. …”
    Get full text
    Get full text
    Monograph
  5. 5

    The superiority of feasible solutions-moth flame optimizer using valve point loading by Alam, Mohammad Khurshed, Sulaiman, Mohd Herwan, Ferdowsi, Asma, Sayem, MD Shaoran, Ringku, Md Mahfuzer Akter, Foysal, Md.

    Published 2024
    “…The MFO, Grey Wolf Optimizer (GWO), Success-history-based Parameter Adaptation Technique of Differential Evolution - Superiority of Feasible Solutions (SHADE-SF), and Superiority of Feasible Solutions-Moth Flame Optimizer (SF-MFO) algorithms are applied to address the OPF problem with two objective functions: (1) reducing energy production costs and (2) minimizing power losses. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    Optimization of fed-batch fermentation processes using the Backtracking Search Algorithm by Mohd Zain, Mohamad Zihin, Kanesan, Jeevan, Kendall, Graham, Chuah, Joon Huang

    Published 2018
    “…However, the complexity of these processes requires an expert system that involves swarm intelligence-based metaheuristics such as Artificial Algae Algorithm (AAA), Artificial Bee Colony (ABC), Covariance Matrix Adaptation Evolution Strategy (CMAES) and Differential Evolution (DE) for simulation and optimization of the feeding trajectories. …”
    Get full text
    Get full text
    Article
  7. 7

    Optimizing of PID controller for flexible link system using a Pareto-based Multi-objective differential (PMODE) evolution by Tijani, Ismaila, Akmeliawati, Rini, Abdul Muthalif, Asan Gani

    Published 2011
    “…This can be viewed like many other real-life control problems as a multi-objectives optimization problem in which an optimal compromise between the design objectives is required. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  8. 8

    PMT : opposition based learning technique for enhancing metaheuristic algorithms performance by Hammoudeh, S. Alamri

    Published 2020
    “…To evaluate the PMT’s performance and adaptability, the PMT was applied to four contemporary metaheuristic algorithms, Differential Evolution, Particle Swarm Optimization, Simulated Annealing, and Whale Optimization Algorithm, to solve 15 well-known benchmark functions as well as 2 real world problems based on the welded beam design and pressure vessel design. …”
    Get full text
    Get full text
    Thesis
  9. 9

    A novel cell-selection optimization handover for long-term evolution (LTE) macrocellusing fuzzy TOPSIS by Hussein, Yaseein Soubhi, Ali, Borhanuddin M., A. Rasid, Mohd Fadlee, Sali, A., Mansoor, Ali Mohammed

    Published 2016
    “…Although a successful handover is accomplished, it might be to a wrong cell when the selected cell is not an optimal one in terms of signal quality and bandwidth. …”
    Get full text
    Get full text
    Article
  10. 10

    Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy by Prakas Gopal , Samy

    Published 2024
    “…This methodology efficiently positions solutions on the PF with minimal distances from the origin, signifying optimality. …”
    Get full text
    Get full text
    Get full text
    Thesis
  11. 11

    Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter by Kamisman, Norazelina

    Published 2018
    “…Differential Evolution (DE) has been gaining popularity among researchers as an effective yet simple evolutionary algorithm to solve the optimization problems. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  12. 12

    Optimization of PID controller for flexible link system using a pareto-based multi-objective differential (PMODE) evolution by Tijani, I. B., Akmeliawati, Rini, Abdul Muthalif, Asan Gani, Legowo, Ari

    Published 2011
    “…This can be viewed like many other reallife control problems as a multi-objectives optimization problem in which an optimal compromise between the design objectives is required. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  13. 13

    PMT: opposition-based learning technique for enhancing meta-heuristic performance by Alamri, Hammoudeh S., Kamal Z., Zamli

    Published 2019
    “…To evaluate the PMT's performance and adaptability, the PMT has been applied to four contemporary meta-heuristic algorithms, differential evolution (DE), particle swarm optimization (PSO), simulated annealing (SA), and whale optimization algorithm (WOA), to solve 15 well-known benchmark functions. …”
    Get full text
    Get full text
    Get full text
    Article
  14. 14

    Mobility management for seamless handover in carrier aggregation heterogeneous networks deployment scenario of long term evolution-advanced by Ahmed-Abdulazeez, Mariam Ovayioza

    Published 2018
    “…Attaining an optimal solution for HCPs selection is subjected to compromise between LBO and HPO functions, thus leading to inefficient handover decision making. …”
    Get full text
    Get full text
    Thesis
  15. 15
  16. 16

    Performance comparison of differential evolution and particle swarm optimization in constrained optimization by Iwan, Mahmud, Akmeliawati, Rini, Faisal, Tarig, Al-Assadi, Hayder M.A.A.

    Published 2012
    “…Particle swarm optimization (PSO) and differential evolution (DE) are among the well-known modern optimization algorithms. …”
    Get full text
    Get full text
    Get full text
    Article
  17. 17

    Performance optimization of cloud storage in access control of Ciphertext Policy Attribute-based Encryption by Mohd Satar, Siti Dhalila

    Published 2023
    “…This method ensures a more compact plaintext format, thereby reducing the storage cost, optimizing the performance of encryption and minimizing the demands on cloud storage space. …”
    Get full text
    Get full text
    Get full text
    Thesis
  18. 18

    Comparative Study of Economic Dispatch by Using Various Optimization Techniques by Hong, Mee Song, M. H., Sulaiman, Mohd Rusllim, Mohamed, Wong, Lo Ing

    Published 2014
    “…The optimization techniques used in this paper to do the comparison are Quadratic Programming (QP), Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO), Simulated Annealing (SA), Differential Evolution (DE) and Genetic Algorithm (GA). …”
    Get full text
    Get full text
    Conference or Workshop Item
  19. 19

    Differential evolution optimization algorithm based on generation systems reliability assessment integrated with wind energy by Kadhem, Athraa Ali, Abdul Wahab, Noor Izzri, Abdalla, Ahmed N.

    Published 2019
    “…This stuffy proposed a novel optimization method labeled the "Differential Evolution Optimization Algorithm" (DEOA) to assess the reliability of power generation systems (PGS). …”
    Get full text
    Get full text
    Conference or Workshop Item
  20. 20

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

    Published 2019
    “…Regardless of many benefits of BIAs, the issues like local minima, less precision, slow convergence rate, and computational complexity are the core optimization problems which required some serious consideration to acquire the maximum benefit from the SHEPWM technique. …”
    Get full text
    Get full text
    Get full text
    Thesis