A massive review reveals a surge in new optimization algorithms
In short: A review of approximately 540 metaheuristic algorithms found that over 350 of these optimization tools have been developed in just the last decade. Researchers tracked these methods to understand how they are used in real-world applications and to address the growing problem of many new algorithms being nearly identical to existing ones.
The study categorizes these algorithms by their control parameters to provide a new way to organize the field. While the review offers a way for newcomers to navigate the complex landscape of search and optimization, it also highlights the challenge of identifying truly novel techniques amidst a sea of similar methods.
Why it matters: The rapid growth of optimization algorithms makes it increasingly difficult to distinguish truly new methods from existing ones.
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