Skip to main content
Communication and Computing Systems Lab
CCSL
Communication and Computing Systems Lab
Home
People
All Profiles
Principal Investigator
Postdoctoral Fellows
Research Scientists
Research Staff
Students
Alumni
Former Members
Research
Wireless Communication
Body Area Network
AI Accelerator
All Projects
Publications
Publications
Google Scholar
DBLP
IEEE Xplore
KAUST Repository
ORCID
Events
Media Gallery
Contacts
Join 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