A quasi-opposition learning and chaos local search based on walrus optimization for global optimization problems
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Research on optimization algorithms is being reported, with various studies exploring different approaches such as walrus optimization, opposition-based american zebra optimization, and others. These algorithms are being applied to a range of problems, including global optimization, data clustering, breast cancer prediction, and engineering optimization. The specific details and outcomes of these studies are not clear from the available information.
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