This project provides an open-source code of Maxwell’s equations derived optimization (MEDO). MEDO is a novel optimization algorithm, which is particularly suitable for electromagnetic optimization problems. The algorithm focuses the time-varying's effect on a coaxial, and simplifies the coaxial to be a parallel circuit. One part of the conductor in the circuit is treated as the individual to explore the search space, which is named as ‘slide bar’. Another part of conductor next to the slide bar is treated as the region to be optimized, which is of the same shape with the objective function. According to the numerical tests, MEDO is proved to an effective optimization algorithm for both unimodal and multimodal functions.
This version is created with MATLAB R2017a.

Features

  • optimization
  • electromagnetics

Project Activity

See All Activity >

Follow Maxwell's-equations-derived-optimization

Maxwell's-equations-derived-optimization Web Site

Other Useful Business Software
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Maxwell's-equations-derived-optimization!

Additional Project Details

Registered

2020-09-08