A Wind Driven Optimization Algorithm for Global Optimization of Electromagnetic Devices

Improvements to overcome premature convergence of existing wind driven optimization algorithms are proposed. The specific measures being proposed include: 1) selection of the origin point of every parcel using dynamic and random tournament selection mechanisms to guarantee that there is a good balan...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on magnetics Vol. 54; no. 3; pp. 1 - 5
Main Authors: Ho, S. L., Yang, Shiyou
Format: Journal Article
Language:English
Published: New York IEEE 01.03.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithm design and analysis
Convergence
Design engineering
Feasibility studies
Global optimization
Heuristic algorithms
inverse problem
Inverse problems
Magnetism
natural-inspired algorithm
Optimization
Optimization algorithms
Sociology
Statistics
Stochastic processes
wind driven optimization
ISSN:0018-9464, 1941-0069
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Improvements to overcome premature convergence of existing wind driven optimization algorithms are proposed. The specific measures being proposed include: 1) selection of the origin point of every parcel using dynamic and random tournament selection mechanisms to guarantee that there is a good balance between exploration and exploitation searches. In this paper, the "so far searched best solution" will be exploited to guide the movement of the randomly initialized parcels by introducing a newly designed mechanism; and a probabilistic mutation is designed; and 2) full utilization of the latest information accumulated from the searched history in order to guide the search toward the potential solutions to enhance convergences, and the "so far searched worst parcel" is used to shift the new parcel away from the parcel in issue. Numerical results on three case studies are reported to showcase the feasibility and the merit of the proposed method in solving both practical engineering design problems and mathematical test functions.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2017.2750543