Open AccessMedicineComputer Science

G. Hiermann, M. Prandtstetter, Andrea Rendl, Jakob Puchinger, G. Raidl

2013.5.29Central European Journal of Operations Research

DOI: 10.1007/s10100-013-0305-8

tlooto Summary

This work presents a general framework for solving a real-world multimodal home-healthcare scheduling (MHS) problem from a major Austrian home- healthcare provider and develops four metaheuristics: variable neighborhood search, a memetic algorithm, scatter search and a simulated annealing hyper-heuristic.

Abstract

Abstract is not available.

Citation format

HIERMANN, G., et al. Metaheuristics for solving a multimodal home-healthcare scheduling problem. Central European Journal of Operations Research, 2013, 23: 89–113.