… health care professionals often lack the machine learning expertise that is necessary to build
a successful model, … The next pipeline optimizer we will consider is Auto-sklearn [71], which …

… algorithm inspired by Darwin’s theory of evolution and has been studied extensively to solve
different areas of optimisation … diversity and population dynamics models of DE published …

… More specifically, this review strives to explore one of the most popular models of SI, …
reviewed papers. Due to the length limitation of the paper, I addressed curtly only 84 state-of-the-art …

… more accurate and efficient models by incorporating novel … show the state-of-the-art of heuristic
and metaheuristic optimization … paper reviews the different swarm intelligence algorithms …

… of the algorithm. A cross-validation model was used to assess the proposed algorithm, and
the … First, it allows users to substitute the optimizer or ML problem. Second, it allows the use of …

… interpreting, and synthesizing health care data from disparate … ML algorithm is trained on
data, yielding a trained ML model … approach, the algorithm would have a goal—optimize partial …

… , which has greatly impacted healthcare front liners in terms of … Directed bee colony optimization
algorithm to solve the … the use of a mathematical model, which is optimised [70]. There …

… annealing algorithm to solve level schedules in mixed model … implementation of SA to
optimise thinning schedules for single … reviews about the scheduling optimisation algorithms in …

… proposed algorithm is competitive with other state-of-the-art … , and relevant SIR-based models
that provided support in this … review studies that have developed bio-inspired optimization …

… such as those related to medical care or other privacy matters. … the model structures that can
be designed and optimized in … the search space and optimization methods of NAS technique…