LS2R: A local search algorithm to solve scheduling radiotherapy problems

Juan Pablo Cares, María Cristina Riff, IGNACIO DANIEL ARAYA ZAMORANO

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper we propose a local search algorithm to tackle scheduling radiotherapy problems. Our scheduling radiotherapy problem has a set of constraints that must be satisfied and another set of soft constraints that are suitable to be satisfied. Many resources are involved in the scheduling as doctors, patients and machines. The goal is focused on improving the patient care services. Our algorithm has been tested using a real world problem as well as a set of new benchmarks that we introduce in this work.

Original languageEnglish
Title of host publication13th International Conference on Hybrid Intelligent Systems, HIS 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages256-261
Number of pages6
ISBN (Electronic)9781479924394
DOIs
StatePublished - 10 Oct 2014
Event13th International Conference on Hybrid Intelligent Systems, HIS 2013 - Gammarth, Tunisia
Duration: 4 Dec 20136 Dec 2013

Publication series

Name13th International Conference on Hybrid Intelligent Systems, HIS 2013

Conference

Conference13th International Conference on Hybrid Intelligent Systems, HIS 2013
CountryTunisia
CityGammarth
Period4/12/136/12/13

Keywords

  • Local Search
  • Real world problem
  • Scheduling

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