A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics
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DOI: 10.1002/wics.70028
Abstract: Benchmarking in optimization is a critical step in evaluating the performance, robustness, and scalability of machine learning algorithms and metaheuristics. While trends in benchmark design continue to evolve, synthetic functions remain vital for fundamental stress… read more here.
Keywords: review benchmark; benchmark test; test; algorithms metaheuristics ... See more keywords