Wind Driven Optimization (WDO): A novel nature-inspired optimization algorithm and its application to electromagnetics

By Zikri Bayraktar, Muge Komurcu, Douglas H. Werner. IEEE Antennas and Propagation Society International Symposium, 2010

208 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7eb0a3110ca3976f54a06e41a25e82235d5dda9d

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In Electrical and Electronic Engineering

1. Farzad Kiani
2. Amir Seyyedabbasi

Citations in the corpus

• Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur's entropy (2014, unknown): “1 ð12Þ CðyÞ ¼ Z 1 0 f y 1e f df ð13Þ where, C(y) is the Gamma function.”
• Metaheuristic research: a comprehensive survey (2018, methodology): “2015) WDO Wind Driven Optimization (Bayraktar et al. 2010) WEO Water Evaporation Optimization (Kaveh and Bakhshpoori 2016) WFA Water Flow-like Algorithm (Yang and Wang 2007) WPA Wolf Pack Algorithm (Wu and Zhang 2014) WS Warping Search (Gonçalves et al.”
• Sand Cat swarm optimization: a nature-inspired algorithm to solve global optimization problems (2022, background): “…(WOA) [34], dragonfly algorithm (DA) [35], cuckoo search (CS) [36], butterfly optimization algorithm (BOA) [37], wind-driven optimization (WDO) [38], cat swarm optimization (CSO) [39], fruit fly optimization algorithm (FFOA) [40], and flower pollination algorithm (FPA) [41], Salp swarm…”