Skip to main content
Computer, Electrical and Mathematical Sciences and Engineering
CEMSE
Computer, Electrical and Mathematical Sciences and Engineering
Home
Study
Prospective Students
Current Students
Internship Opportunities
Research
Research Overview
Research Areas
Research Groups
Programs
Applied Mathematics and Computational Science
Computer Science
Electrical and Computer Engineering
Statistics
People
All People
Faculty
Affiliate Faculty
Instructional Faculty
Research Scientists
Research Staff
Postdoctoral Fellows
Students
Alumni
Administrative Staff
News
Events
About
Who We Are
Leadership Team
Apply
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
