Young's double-slit experiment optimizer : a novel metaheuristic optimization algorithm for global and constraint optimization problems
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Publication:2679433
DOI10.1016/j.cma.2022.115652OpenAlexW4308222718MaRDI QIDQ2679433
Mohamed Abouhawwash, Mohammed Jameel, Mohamed Abdel-Basset, Doaa El-Shahat
Publication date: 20 January 2023
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2022.115652
constrained optimizationmetaheuristicsHuygens' principleinterferencelight waveYoung's double-slit experiment
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Cites Work
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- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- The arithmetic optimization algorithm
- Gradient-based optimizer: a new metaheuristic optimization algorithm
- Starling murmuration optimizer: a novel bio-inspired algorithm for global and engineering optimization
- GSA: A gravitational search algorithm
- A Simplex Method for Function Minimization
- Quasi-Newton Methods for Unconstrained Optimization