Skip to main content
King Abdullah University of Science and Technology
Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
TREES
Extensions of Dynamic Programming, Machine Learning, Discrete Optimization

Main navigation

  • Home
  • People
    • All Profiles
    • Principal Investigators
    • Postdoctoral Fellows
    • Students
    • Alumni
    • Former Members
  • Events
    • All Events
    • Events Calendar
  • News
  • Teaching
  • Collaborators
  • Books
  • Contact Us

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

Extensions of Dynamic Programming, Machine Learning, Discrete Optimization (TREES)

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