Skip to main content
King Abdullah University of Science and Technology
Stochastic Numerics Research Group
STOCHNUM
Stochastic Numerics Research Group

Main navigation

  • Home
  • People
    • All Profiles
    • Principal Investigators
    • Research Scientists
    • Postdoctoral Fellows
    • Students
    • Former Members
    • Consultants
  • Events
    • All Events
    • Upcoming Events
    • Events Calendar
  • News
  • Teaching
  • Theses
  • UQ Hybrid Seminar
  • SNSL 2026

Genetic Algorithm

Synthesis and Optimization of Fractional-order Elements Using a Genetic Algorithm

1 min read · Fri, Apr 26 2019

News

Genetic Algorithm Circuits

Aslihan Kartci, et al., "Synthesis and Optimization of Fractional-order Elements Using a Genetic Algorithm". IEEE Access 7, 2019, 80233. This study proposes a new approach for the optimization of phase and magnitude responses of fractional-order capacitive and inductive elements based on the mixed integer-order genetic algorithm (GA), over a bandwidth of four-decade, and operating up to 1 GHz with a low phase error of approximately ±1 ◦ . It provides a phase optimization in the desired bandwidth with minimal branch number and avoids the use of negative component values, and any complex

Stochastic Numerics Research Group (STOCHNUM)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice