The Wind Driven Optimization Technique and its Application in Electromagnetics

A new type of nature-inspired global optimization methodology based on atmospheric motion is introduced. The proposed Wind Driven Optimization (WDO) technique is a population based iterative heuristic global optimization algorithm for multi-dimensional and multi-modal problems with the potential to...

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Veröffentlicht in:IEEE transactions on antennas and propagation Jg. 61; H. 5; S. 2745 - 2757
Hauptverfasser: Bayraktar, Z., Komurcu, M., Bossard, J. A., Werner, D. H.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.05.2013
Institute of Electrical and Electronics Engineers
Schlagworte:
Antennas
Applied classical electromagnetism
Applied sciences
Artificial magnetic conductor
Business and industry local networks
differential evolution
Earth
Electromagnetic wave propagation, radiowave propagation
Electromagnetism; electron and ion optics
Equations
Exact sciences and technology
Force
Fundamental areas of phenomenology (including applications)
genetic algorithms
linear antenna arrays
microstrip patch antenna
Networks and services in france and abroad
Optimization
particle swarm optimization
Physics
Radiocommunications
Sociology
Statistics
Telecommunications
Telecommunications and information theory
Teleprocessing networks. Isdn
Terrestrial atmosphere
wind driven optimization
Wireless LAN
Earth atmosphere
Electromagnetism
Terminology
Wireless telecommunication
Printed antenna
E shape
microstrip patch antenna
Updating
Global optimum
Particle swarm optimization
Implementation
Genetic algorithms
differential evolution
Biomimetics
Artificial magnetic conductor
Microstrip antennas
Heuristic method
wind driven optimization
Robustness
Linear antenna arrays
Iterative methods
Metamaterial
ISSN:0018-926X, 1558-2221
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Beschreibung
Zusammenfassung:A new type of nature-inspired global optimization methodology based on atmospheric motion is introduced. The proposed Wind Driven Optimization (WDO) technique is a population based iterative heuristic global optimization algorithm for multi-dimensional and multi-modal problems with the potential to implement constraints on the search domain. At its core, a population of infinitesimally small air parcels navigates over an N -dimensional search space following Newton's second law of motion, which is also used to describe the motion of air parcels within the earth's atmosphere. Compared to similar particle based algorithms, WDO employs additional terms in the velocity update equation (e.g., gravitation and Coriolis forces), providing robustness and extra degrees of freedom to fine tune. Along with the theory and terminology of WDO, a numerical study for tuning the WDO parameters is presented. WDO is further applied to three electromagnetics optimization problems, including the synthesis of a linear antenna array, a double-sided artificial magnetic conductor for WiFi applications, and an E-shaped microstrip patch antenna. These examples suggest that WDO can, in some cases, out-perform other well-known techniques such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) or Differential Evolution (DE) and that WDO is well-suited for problems with both discrete and continuous-valued parameters.
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2013.2238654