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With case-based reasoning, the optimization process can be populated from the previously found optimal configurations, and then further search for optimization can start from there.
Hrstka, A. Kučerová, Search for optimization methods on multi-dimensional real domains, Contributions to Mechanics of Materials and Structures, CTU Reports 4, 2000, pp. 87 104].
Therefore, it is important to define a proper energy function than to search for optimization techniques in order to improve the performance.
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Open image in new window Fig. 1 Swarm distributions searching for optimization value of f 3 Open image in new window Fig. 2 Swarm distributions searching for optimization value of f 6.
7.2 Iterative search method for optimization problems.
Simulated annealing is a kind of stochastic search technique for optimization problems.
Another recent and very similar approach uses a deterministic search algorithm for optimization of drug combinations [ 9].
The Huber loss function is smooth, hence differentiable; therefore, it allows the application of a gradient search method for optimization.
OptFlux also contemplates several methods for model simplification and other pre-processing operations aimed at reducing the search space for optimization algorithms.
Furthermore, the search space for optimization was limited by defining the range for each unknown parameter according to the training data and by experience.
Genetic algorithms (GAs) have been classically utilized as a search method for optimization of objective functions that are discontinuous, non-differentiable, stochastic, or highly non-linear.
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