Variable Neighborhood Search in Hamming Space
Variable Neighbourhood Search (VNS) is one of the most used meta-heuristics for global optimization. We focus our attention on combinatorial problems and propose a new implementation of VNS in Hamming space. Together with the basic VNS approach initially proposed by Hansen and Mladenović, we present a comparison among the most known VNS variants and we
Hengeveld, Simon, Mucherino, Antonio
openaire +2 more sources
A fast ILP-based Heuristic for the robust design of Body Wireless Sensor Networks
We consider the problem of optimally designing a body wireless sensor network, while taking into account the uncertainty of data generation of biosensors.
A Ben-Tal +30 more
core +1 more source
A Variable Neighborhood Search for the Multi Depot Vehicle Routing Problem with Time Windows [PDF]
The aim of this paper is to propose an algorithm based on the philosophy of the Variable Neighborhood Search (VNS) to solve Multi Depot Vehicle Routing Problems with Time Windows. The paper has two main contributions.
Doerner, Karl +3 more
core
Novel variable neighborhood search heuristics for truck management in distribution warehouses problem. [PDF]
Sarhan AY +5 more
europepmc +1 more source
Multi-objective home health care routing: a variable neighborhood search method. [PDF]
Kordi G, Divsalar A, Emami S.
europepmc +1 more source
Variable Neighborhood Search for Multi-Cycle Medical Waste Recycling Vehicle Routing Problem with Time Windows. [PDF]
Zhang W, Zeng M, Guo P, Wen K.
europepmc +1 more source
Variable neighborhood search for the maximum clique
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hansen, Pierre +2 more
openaire +1 more source
Opposition-based sine cosine optimizer utilizing refraction learning and variable neighborhood search for feature selection. [PDF]
Abed-Alguni BH +4 more
europepmc +1 more source
Optimization of a molten iron scheduling problem with uncertain processing time using variable neighborhood search algorithm. [PDF]
Liu L, Chang Z, Song S.
europepmc +1 more source

