Search alternatives:
optimization design » optimization using (Expand Search)
decrease » increase (Expand Search)
Showing 1 - 20 results of 363 for search '(( significant ((main decrease) OR (mean decrease)) ) OR ( significant optimization design ))*', query time: 0.12s Refine Results
  1. 1

    Tensile Test Optimization Using the Design of Experiment and Soft Computing by Mehdi Moayyedian (14880358)

    Published 2023
    “…This study employs a hybrid soft computing approach, integrating an adaptive network-based fuzzy inference system (ANFIS), genetic algorithm (GA) optimization, and design of experiments (DOE). By combining these techniques, the study aims to leverage their individual strengths and achieve superior results. …”
  2. 2

    Optimal design of power system stabilizers using evolutionary programming by Abido, M.A.

    Published 2002
    “…The optimal design of power system stabilizers (PSSs) using evolutionary programming (EP) optimization technique is presented in this paper. …”
    Get full text
    Get full text
    article
  3. 3
  4. 4
  5. 5
  6. 6

    The Grid Iron Patterns & Detached Villas as the Main Drivers of Sharjah City’s Urban Sprawl by MOHAMED, SHAMSELDIN SAEED

    Published 2021
    “…On the other hand, the same study proved that the grid system and the villa model are the main reason behind the urban sprawl of the city. …”
    Get full text
  7. 7

    Decision Support Model for Optimal Design of Wind Technologies Based Techno–Economic Approach by Fatima-Azahraa Bourhim (16876020)

    Published 2021
    “…<p dir="ltr">This paper aims to propose a practical decision support model for the optimal design of future wind turbines based on available wind potential on the site of interest. …”
  8. 8

    Synthesis of biochar from tamarind seed: experimental optimization using response surface methodology design by Shamna Mubashir (22466455)

    Published 2025
    “…Response surface methodology based on Box–Behnken design was utilized to optimize three experimental parameters, namely, the hydrothermal carbonization temperature, the reaction time, and the concentration of the chemical activator (H<sub>3</sub>PO<sub>4</sub>). …”
  9. 9

    Development of a Flexible Framework Multi-Design Optimization Scheme for a Hand Launched Fuel Cell-Powered UAV by Al Rayes, Zaid

    Published 2021
    “…Optimization results showed a significant improvement in UAV flight endurance that reached up to 475 min with take-off ratio equals to 59 min/kg. …”
    Get full text
    article
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15

    A Comprehensive Review on Conventional and Machine Learning-Assisted Design of 5G Microstrip Patch Antenna by Nupur Chhaule (21224987)

    Published 2024
    “…ML is demonstrating an evident future in antenna design optimization by predicting antenna behavior and expediting optimization with accuracy and efficiency. …”
  16. 16

    Multiple objectives optimization of injection-moulding process for dashboard using soft computing and particle swarm optimization by Mehdi Moayyedian (14880358)

    Published 2024
    “…Process parameters, such as pure cooling time, mould temperature, melt temperature, and pressure holding time, are carefully selected for investigation. A full factorial design of experiments is employed to identify optimal settings. …”
  17. 17

    Design and analysis of an alkaline fuel cell by Azzam, Mohammed H. A.

    Published 2023
    “…A parametric study of various design and operating parameters, and material selection is carried out to optimize the overall performance. …”
    Get full text
    article
  18. 18

    On the Optimization of Band Gaps in Periodic Waveguides by Jamil Renno (14070771)

    Published 2025
    “…<h3 dir="ltr">Purpose</h3><p dir="ltr">This work applies a computational framework for vibration attenuation in periodic structures by combining the established wave and finite element (WFE) method with nature-inspired optimization algorithms. The purpose of this work is to provide a systematic comparison of various nature-inspired algorithms across both low-cost analytical and high-fidelity simulation-driven design problems.…”
  19. 19
  20. 20