H
Hoda Zamani
Researcher at Islamic Azad University
Publications - 17
Citations - 645
Hoda Zamani is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Computer science & Feature selection. The author has an hindex of 4, co-authored 6 publications receiving 82 citations.
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Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization
TL;DR: In this paper , a bio-inspired algorithm inspired by starlings' behaviors during their stunning murmuration named starling murmuration optimizer (SMO) is presented to solve complex and engineering optimization problems as the most appropriate application of metaheuristic algorithms.
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CCSA: Conscious Neighborhood-based Crow Search Algorithm for Solving Global Optimization Problems
TL;DR: CCSA is a successful improvement to tackle the imbalance search strategy and premature convergence problems of the crow search algorithm and finds the best optimal solution for the applied problems of engineering design.
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QANA: Quantum-based avian navigation optimizer algorithm
TL;DR: In this paper, a novel DE algorithm named quantum-based avian navigation optimizer algorithm (QANA) was proposed, which is inspired by the extraordinary precision navigation of migratory birds during long-distance aerial paths.
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Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study
TL;DR: Wang et al. as discussed by the authors proposed an enhanced whale optimization algorithm named E-WOA using a pooling mechanism and three effective search strategies named migrating, preferential selecting, and enriched encircling prey.
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B-MFO: A Binary Moth-Flame Optimization for Feature Selection from Medical Datasets
Mohammad H. Nadimi-Shahraki,Mahdis Banaie-Dezfouli,Hoda Zamani,Shokooh Taghian,Seyedali Mirjalili +4 more
TL;DR: In this paper, a binary moth-flame optimization (B-MFO) was proposed to select effective features from small and large medical datasets, and three categories of binary MFO were developed using S-shaped, V-shaped and U-shaped transfer functions to convert the canonical MFO from continuous to binary.