TY - GEN
T1 - Wind Driven Optimization (WDO)
T2 - 2010 IEEE International Symposium on Antennas and Propagation and CNC-USNC/URSI Radio Science Meeting - Leading the Wave, AP-S/URSI 2010
AU - Bayraktar, Zikri
AU - Komurcu, Muge
AU - Werner, Douglas H.
PY - 2010/11/22
Y1 - 2010/11/22
N2 - Nature-inspired techniques such as the Genetic Algorithm (GA) [1], Ant Colony Optimization (ACO) [2], and Particle Swarm Optimization (PSO) [3] have been shown to be some of the most effective global optimization strategies. Consequently, these techniques are currently in widespread use throughout the scientific and engineering communities. In this paper, we introduce a new type of global optimization algorithm that is inspired by the motion of wind in the Earth's atmosphere. We call this new nature-inspired technique Wind-Driven Optimization (WDO). WDO is a population based iterative heuristic global optimization technique for multi-dimensional problems. A population of infinitesimally small air parcels are distributed throughout an N-dimensional problem space and assigned random velocities such that the positions of air parcels are updated at each iteration based on the physical equations that govern large-scale atmospheric motion.
AB - Nature-inspired techniques such as the Genetic Algorithm (GA) [1], Ant Colony Optimization (ACO) [2], and Particle Swarm Optimization (PSO) [3] have been shown to be some of the most effective global optimization strategies. Consequently, these techniques are currently in widespread use throughout the scientific and engineering communities. In this paper, we introduce a new type of global optimization algorithm that is inspired by the motion of wind in the Earth's atmosphere. We call this new nature-inspired technique Wind-Driven Optimization (WDO). WDO is a population based iterative heuristic global optimization technique for multi-dimensional problems. A population of infinitesimally small air parcels are distributed throughout an N-dimensional problem space and assigned random velocities such that the positions of air parcels are updated at each iteration based on the physical equations that govern large-scale atmospheric motion.
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U2 - 10.1109/APS.2010.5562213
DO - 10.1109/APS.2010.5562213
M3 - Conference contribution
AN - SCOPUS:78349235849
SN - 9781424449682
T3 - 2010 IEEE International Symposium on Antennas and Propagation and CNC-USNC/URSI Radio Science Meeting - Leading the Wave, AP-S/URSI 2010
BT - 2010 IEEE International Symposium on Antennas and Propagation and CNC-USNC/URSI Radio Science Meeting - Leading the Wave, AP-S/URSI 2010
Y2 - 11 July 2010 through 17 July 2010
ER -