Una comparación de algoritmos basados en trayectoria granular para el problema de localización y ruteo con flota heterogénea (LRPH)

Indexación: Scopus.We consider the Location-Routing Problem with Heterogeneous Fleet (LRPH) in which the goal is to determine the depots to be opened, the customers to be assigned to each open depot, and the corresponding routes fulfilling the demand of the customers and by considering a heterogeneous fleet. We propose a comparison of granular approaches of Simulated Annealing (GSA), of Variable Neighborhood Search (GVNS) and of a probabilistic Tabu Search (pGTS) for the LRPH. Thus, the proposed approaches consider a subset of the search space in which non-favorable movements are discarded regarding a granularity factor. The proposed algorithms are experimentally compared for the solution of the LRPH, by taking into account the CPU time and the quality of the solutions obtained on the instances adapted from the literature. The computational results show that algorithm GSA is able to obtain high quality solutions within short CPU times, improving the results obtained by the other proposed approaches.https://revistas.unal.edu.co/index.php/dyna/article/view/55533/5896

New Size Measurements in Population Ecology

In organizational ecology, the analysis of the impact of competition between populations on vital ratios is relatively underdeveloped. This paper addresses this issue by developing new competition measurements that focus on the importance of organizational size. The application of these measurements in the case of competition between organizational subforms in a population, and their impact on mortality rates, demonstrate their usefulness for modelling competition. Specifically, the results show how levels of competition between firms in a population can be more clearly analysed when the rival population mass or concentration indices are used. Copyright Springer 2006competition between subforms, probability of failure, the cross effects of concentration model, the cross effects of density model, the cross effects of mass model, C41, L11, L25, M29,