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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| Published in: | IEEE transactions on antennas and propagation Vol. 61; no. 5; pp. 2745 - 2757 |
|---|---|
| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York, NY
IEEE
01.05.2013
Institute of Electrical and Electronics Engineers |
| Subjects: | |
| ISSN: | 0018-926X, 1558-2221 |
| Online Access: | Get full text |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Bossard, J. A. Bayraktar, Z. Werner, D. H. Komurcu, M. |
| Author_xml | – sequence: 1 givenname: Z. surname: Bayraktar fullname: Bayraktar, Z. organization: Dept. of Electr. Eng., Pennsylvania State Univ. (Penn State), University Park, PA, USA – sequence: 2 givenname: M. surname: Komurcu fullname: Komurcu, M. organization: Dept. of Electr. Eng., Pennsylvania State Univ. (Penn State), University Park, PA, USA – sequence: 3 givenname: J. A. surname: Bossard fullname: Bossard, J. A. organization: Dept. of Electr. Eng., Pennsylvania State Univ. (Penn State), University Park, PA, USA – sequence: 4 givenname: D. H. surname: Werner fullname: Werner, D. H. email: dhw@psu.edu organization: Dept. of Electr. Eng., Pennsylvania State Univ. (Penn State), University Park, PA, USA |
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| Keywords | 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 |
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| Snippet | A new type of nature-inspired global optimization methodology based on atmospheric motion is introduced. The proposed Wind Driven Optimization (WDO) technique... |
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| SubjectTerms | 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 |
| Title | The Wind Driven Optimization Technique and its Application in Electromagnetics |
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