Various objective functions in the operation process of unmanned ground combat vehicles
(UGVs) have an important impact on the equilibrium of the system. Unbalanced scheduling …

Optimization problems have attracted attention of researchers for decades. Commonly,
problem related data and problem domain are assumed to be exactly known beforehand …

Artificial intelligence techniques bring about new opportunities in problem solving. The
notion such techniques have in common is learning mechanisms that are mostly problem …

Optimization in dynamic environments is a hot research area that has attracted a notable
attention in the past decade. It is clear from the dynamic optimization literature that most of …

When optimizing many-objective optimization problems (MaOPs), the optimization effect is
normally related to the problem types. Therefore, enhancing the generalization ability is …

Optimization in dynamic environments is a fast develo** research area. Several
outstanding metaheuristic algorithms were proposed to solve dynamic optimization …

The location of facilities (antennas, ambulances, police patrols, etc) has been widely studied
in the literature. The maximal covering location problem aims at locating the facilities in such …

La presente investigaci´ on se centra en el estudio, dise˜ no y evaluaci´ on de esquemas de
portafolio basados en metaheur´ ısticas para abordar problemas de optimizaci´ on din´ …

We focus here in the deployment of Wi-Fi hotspots (Internet access points) in several
locations of Havana city, Cuba. The key point to consider is that the availability of the …

In this study, Whale Optimization Algorithm (WOA), which is a recently proposed swarm
intelligence-based algorithm, has been used to solve binary optimization problems. As the …