*Result*: Distributed Evolutionary Algorithm for Optimization in Electromagnetics.
Title:
Distributed Evolutionary Algorithm for Optimization in Electromagnetics.
Authors:
Starzyñski, Jacek1 jstar@iem.pw.edu.pl, Szmurlo, Robert1, Kijanowski, Jaroslaw1, Dawidowicz, Boleslaw1, Sawicki, Bartosz1, Wincenciak, Stanislaw1
Source:
IEEE Transactions on Magnetics. Apr2006, Vol. 42 Issue 4, p1243-1246. 4p.
Subject Terms:
Database:
Academic Search Index
*Further Information*
*This paper presents a distributed universal evolutionary optimization environment designed for optimal design in electromagnetics. The optimizer can be tuned to act as a genetic algorithm or as an evolutionary strategy. Basic principles of optimizer design are discussed. The system is coded in Java and uses a remote method invocation technique to distribute computational tasks between local and/or remote servers. T.E.A.M Workshop problem 25 was used to estimate parallel performance of the system. An example of application is the optimal location of electrodes for electroconvulsive stimulation is presented. [ABSTRACT FROM AUTHOR]*