The challenge in shift scheduling lies in the construction of a set of work shifts, which are subject to specific regulations, in order to cover fluctuating staff demands. This pro...
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
We address a large scale waste collection vehicle routing problem with time windows (VRPTW) complicated by multiple disposal trips and drivers lunch breaks. A fitness search spac...
Andrew Runka, Beatrice M. Ombuki-Berman, Mario Ven...
The critical functionality of many software applications relies on code that performs mathematically complex computations. However, such code is often difficult to test owing to t...
— Evolutionary algorithms (EAs) have been widely used in optimization, where infeasible solutions are often encountered. Some EAs regard infeasible solutions as useless individua...