GA-Based Solutions Comparison for Storage Strategies Optimization for an Automated Warehouse

Comparison of multi-objective optimization techniques applied to off-gas management within an integrated steelwork

“…C++, Java, Python), by means of which potentially any arbitrarily complex system can be simulated. This is the reason why MOEAs and other evolutionary multi-objective optimization methods are intensively applied in the optimization of complex industrial systems [38,39]. On the other hand, the main disadvantages of this approach are due to typically higher computation costs and to the fact that only an approximation of the Pareto front can be obtained.…”

Use of Clustering and Interpolation Techniques for the Time-Efficient Simulation of Complex Models within Optimization Tasks

“…The proposed method has been tested on a well known sample function, the two dimensional sphere function: y = x 2 1 + x 2 2 on the square domain x 1 , x 2 ∈ [−100, 100]. This function has been approximated through the proposed approach, by exploiting both the SOM and the k-means clusterings and by testing different configurations (with different number of clusters) and training datasets, in order to evaluate the effect of the variation of these parameters.…”

“…Process optimization is a key issue in many real world applications and, in particular, in the industrial field in order to improve product quality, maximize the production, minimize consumptions and working times [1] [2].…”