Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
EasyLocal++: an object-oriented framework for the flexible design of local-search algorithms
Software—Practice & Experience
Stochastic Local Search: Foundations & Applications
Stochastic Local Search: Foundations & Applications
The State of the Art of Nurse Rostering
Journal of Scheduling
HM'06 Proceedings of the Third international conference on Hybrid Metaheuristics
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We propose a multi-neighborhood local search procedure to solve a healthcare problem, known as the Patient Admission problem. We design and experiment different combinations of neighborhoods, showing that they have diverse effectiveness for different sets of weights of the cost components that constitute the objective function. We also compute some lower bounds on benchmark instances based on the relaxation of some constraints and the solution of a minimum-cost maximum-cardinality matching problem on a bipartite graph. The outcome is that our results compare favorably with the previous work on the problem, improving on all the available instances, and are also quite close to the computed lower bounds.