Search Results - (( evolution simulation approach algorithm ) OR ( variable optimization techniques algorithm ))

Search alternatives:

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
    “…Unlike the existing optimization algorithm, VL-WIDE features the capability of searching different lengths of solutions to cover the variable number of cloudlets for deployment. …”
    Get full text
    Get full text
    Thesis
  2. 2

    Optimal placement of unified power flow controller by dynamic implementation of system-variable-based voltage-stability indices to enhance voltage stability by Ahmad, S., Albatsh, F.M., Mekhilef, Saad, Mokhlis, Hazlie

    Published 2016
    “…Furthermore, to verify the suitability of the explored locations, a comparative study has been conducted after placing UPFC in the present locations and other locations obtained using optimization techniques like particle swarm optimization (PSO), differential evolution (DE), genetic algorithm (GA), and bacteria foraging algorithm (BFA). …”
    Get full text
    Get full text
    Article
  3. 3

    Queen-bee evolution approach to prc-based papr reduction for ofdm systems by Laila, Binti Abg Ahmad

    Published 2011
    “…The thesis proposed the adoption of Queen-bee Evolution approach for Genetic Algorithm (QBEGA) concept to improve the Genetic Algorithm for generating suboptimum peak reduction carriers (PRCs) for the orthogonal frequency division multiplexing (OFDM) systems employing a large number of sub-channels as contributed by Tan (2003a). …”
    Get full text
    Get full text
    Thesis
  4. 4

    A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models by ul Islam, B., Baharudin, Z.

    Published 2017
    “…These models are developed by integrating multilayer perceptron neural network and evolutionary optimization techniques. Genetic algorithm and simulated annealing techniques are used to optimize the control parameters of the neural network. …”
    Get full text
    Get full text
    Article
  5. 5

    Study of nature inspired computing (NIC) technique for optimal reactive power dispatch problems by Sulaiman, Mohd Herwan

    Published 2017
    “…In this research, new nature-inspired meta-heuristic optimization algorithms namely moth-flame optimizer (MFO) and Ant Lion Optimizer (ALO) were implemented to address the optimal reactive power dispatch (ORPD) problems. …”
    Get full text
    Get full text
    Research Report
  6. 6

    Differential evolution technique of HEPWM for three-phase voltage source inverter by Azziddin, Mohamad Razali, Kamisman, Norazelina, Jurifa, Mat Lazi, Bahari, Norhazilina

    Published 2016
    “…This paper presents the execution of Differential Evolution (DE) algorithm in order to understand the principle operation of Harmonic Elimination Pulse-Width Modulation (HEPWM) switching technique. …”
    Get full text
    Get full text
    Get full text
    Article
  7. 7

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

    Published 2018
    “…Explanation of DE algorithm execution is given, and the best approach of mutation strategy selection used in DE has been investigated. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  8. 8

    Resource allocation in coordinated multipoint long term evolution-advanced networks by Katiran, Norshidah

    Published 2015
    “…Simulation study shows that the ORA algorithm improves the network sum-rate and fairness index up to 70% and 25%, respectively and reduces the average transmit power by 41% in relative to LRA algorithm. …”
    Get full text
    Get full text
    Thesis
  9. 9

    Optimized clustering with modified K-means algorithm by Alibuhtto, Mohamed Cassim

    Published 2021
    “…Among the techniques, the k-means algorithm is the most commonly used technique for determining optimal number of clusters (k). …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  10. 10

    Evolution of RF-signal cognition for wheeled mobile robots using pareto multi-objective optimization by Chin, Kim On, Teo, Jason Tze Wi

    Published 2009
    “…This article describes a simulation model in which a multi-objective approach is utilized for evolving an artificial neural networks (ANNs) controller for an autonomous mobile robot. …”
    Get full text
    Get full text
    Get full text
    Article
  11. 11
  12. 12

    A new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising by Al-Dabbagh, Mohanad Dawood, Al-Dabbagh, Rawaa Dawoud, Raja Abdullah, Raja Syamsul Azmir, Hashim, Fazirulhisyam

    Published 2015
    “…As the standard DE algorithm is a fixed length optimizer, it is not suitable for solving signal de-noising problems that call for variability. …”
    Get full text
    Get full text
    Article
  13. 13
  14. 14

    Evolving controllers for simulated car racing using differential evolution by Shi, Jun Long, Chin, Kim On, Teo, Jason Tze Wi, Tan, Tse Guan, Rayner Alfred, Patricia Anthony

    Published 2013
    “…The Differential Evolution (DE) algorithm is combined with Feed-forward Artificial Neural Networks (FFANNs) to generate the required intelligent controllers in a well-known car racing game, namely The Open Racing Car Simulator (TORCS). …”
    Get full text
    Get full text
    Get full text
    Article
  15. 15

    HEPWM using differential evolution technique for three phase voltage source inverter by Azziddin, Mohamad Razali, Kamisman, Norazelina, Mat Lazi, Jurifa, Bahari, Norhazilina

    Published 2016
    “…This paper presents the implementation of Differential Evolution (DE) algorithm to solve Harmonic Elimination Pulse-Width Modulation (HEPWM) problem. …”
    Get full text
    Get full text
    Get full text
    Article
  16. 16

    Development of a Bioinspired optimization algorithm for the automatic generation of multiple distinct behaviors in simulated mobile robots by Hanafi Ahmad Hijazi, Patricia Anthony

    Published 2006
    “…This research explores a new approach of using a multi-objective evolutionary algorithm (MOEA) to evolve robot controllers in performing phototaxis tasks while avoiding obstacles in a simulated 30 physics environment, to overcome problems involving more than one objective, where these objectives usually trade-off among each other and are expressed in different units. …”
    Get full text
    Get full text
    Research Report
  17. 17
  18. 18

    Investigation and validation of an eleven level symmetric modular multilevel inverter using grey wolf optimization and differential evolution control algorithm for solar PV applica... by Stonier, A.A., Chinnaraj, G., Kannan, R., Mani, G.

    Published 2021
    “…Purpose: This paper aims to examine the design and control of a symmetric multilevel inverter (MLI) using grey wolf optimization and differential evolution algorithms. Design/methodology/approach: The optimal modulation index along with the switching angles are calculated for an 11 level inverter. …”
    Get full text
    Get full text
    Article
  19. 19

    Sediment load forecasting from a biomimetic optimization perspective: Firefly and Artificial Bee Colony algorithms empowered neural network modeling in �oruh River by Katipo?lu O.M., Kartal V., Pande C.B.

    Published 2025
    “…This study combined models such as the artificial neural network (ANN) algorithm with the Firefly algorithm (FA) and Artificial Bee Colony (ABC) optimization techniques for the estimation of monthly SL values in the �oruh River in Northeastern Turkey. …”
    Article
  20. 20

    Process Planning Optimization In Reconfigurable Manufacturing Systems by Musharavati, Farayi

    Published 2008
    “…(i) what decision making models and (ii) what computational techniques, provide an optimal manufacturing process planning solution in a multidimensional decision variables space? …”
    Get full text
    Get full text
    Thesis