2

Particle swarm grammatical evolution for energy demand estimation
Grammatical Swarm is a search and optimization algorithm that belongs to the more general Grammatical Evolution family, which works …
Citar DOI
Preface to the special issue on optimization in vehicle routing and logistics
This special issue of Networks is dedicated to the seventh conference of the EURO Working Group on Vehicle Routing and Logistics …
Citar DOI
Special issue on recent innovations in variable neighborhood search
Variable neighborhood search (VNS) is a so-called single-solution based metaheuristic. The main idea behind VNS is the use of …
Citar DOI
The four dimensions of social network analysis: An overview of research methods, applications, and software tools
Social network based applications have experienced exponential growth in recent years. One of the reasons for this rise is that this …
Citar DOI
A Multi-Objective Parallel Iterated Greedy for Solving the p-Center and p-Dispersion Problem
This paper generalizes the iterated greedy algorithm to solve a multi-objective facility location problem known as the Bi-objective …
Citar DOI
A Variable Neighborhood Search approach for the Hamiltonian p-median problem
The Hamiltonian -Median Problem (HpMP) is a generalization of the well-known Traveling Salesman Problem (TSP), where the goal is to …
Citar DOI
A Variable Neighborhood Search approach for the Hamiltonian p-median problem
The Hamiltonian -Median Problem (HpMP) is a generalization of the well-known Traveling Salesman Problem (TSP), where the goal is to …
Citar DOI
Design of a software system to support value education in sports through gamification techniques
Nowadays, it is quite common to find violent acts in grassroot sports, such as football. Almost every week, it is possible to find news …
Citar DOI
Environmental impact of the production of graphene oxide and reduced graphene oxide
Structured grammatical evolution is a recent grammar-based genetic programming variant that tackles the main drawbacks of Grammatical …
Citar DOI
GRASP and VNS for solving the p-next center problem
This paper presents two metaheuristic algorithms for the solution of the p-next center problem: a Greedy Randomized Adaptive Search …
Citar DOI