Slime mould algorithm: A new method for stochastic optimization
2020 · Future Generation Computer Systems · 2,798 citations
https://doi.org/10.1016/j.future.2020.03.055
M
Mingjing Wang
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Mingjing Wang is an academic researcher from Wenzhou University. The author has contributed to research in topics: Metaheuristic Optimization Algorithms Research & Advanced Multi-Objective Optimization Algorithms & Evolutionary Algorithms and Applications. The author has an h-index of 47, co-authored 116 publications.
ORCID: 0009-0006-3399-2853Papers by this author
worksChaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis
2019 · Applied Soft Computing · 444 citations
https://doi.org/10.1016/j.asoc.2019.105946
Chaos-assisted multi-population salp swarm algorithms: Framework and case studies
2020 · Expert Systems with Applications · 37 citations
https://doi.org/10.1016/j.eswa.2020.114369
Multi-core sine cosine optimization: Methods and inclusive analysis
2020 · Expert Systems with Applications · 32 citations
https://doi.org/10.1016/j.eswa.2020.113974
Enhanced tunability of Bi3/2MNb3/2O7 (M=Zn, Mg, Ni) thin films
2012 · Materials Letters · 19 citations
https://doi.org/10.1016/j.matlet.2012.07.087
Borate ester-crosslinked polysaccharide hydrogel reinforced by proanthocyanidins for oral ulcer therapy
2025 · Colloids and Surfaces B Biointerfaces · 16 citations
https://doi.org/10.1016/j.colsurfb.2025.114535
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