Abstract
Variable neighborhood search (VNS) is a so-called single-solution based metaheuristic. The main idea behind VNS is the use of systematic changes in the neighborhood structure of the single solution that is transformed during the search of an optimum. The technique includes additional strategies that help the search escape from the basins of attraction known as local optima.
Abraham Duarte
Full Professor
Abraham Duarte is Full Professor in the Computer Science Department at the Rey Juan Carlos University (Madrid, Spain). He has done extensive research in the interface between computer science, artificial intelligence, and operations research to develop solution methods based on Computational Intelligence (metaheuristics) for practical problems in operations-management areas such as logistics and supply chains, telecommunications, decision-making under uncertainty and optimization of simulated systems.
Eduardo García Pardo
Full Professor
One of the founders of the investigation group GRAFO, whose main line of research is the development of algorithms to tackle optimization problems, the topic of the researcher’s Doctoral Thesis and which their most notable publications are framed.