Towards a distributed hyperheuristic deploy architecture

Enrique Urra, Daniel Cabrera-Paniagua, Claudio Cubillos

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


The hyperheuristic term is known in the optimization field as an automated methodology for selecting or generating heuristics to solve hard computational search problems. From the design perspective, it is based on decoupling the solving intelligence from the domain expertise, allowing to reuse the same solver for multiple, usually related problem domains. There are few works in which hyperheuristics have been designed and evaluated in distributed environments. In this paper, we propose a conceptual design of a distributed hyperheuristic architecture, from the problem domain deploying perspective, which allows to communicate different optimization environments (such as solver and domain) and to offering a "solving service". Different problems domains could be addressed using an encapsulated hyperheuristic solver, and through well defined interfaces, users can provide different heuristic components to perform the optimization process. The proposed architecture is only an initial step for which different modeling, design and implementation issues must be addressed. Such research should be focused on defining how conceptual design contributions must be leveraged to implement well defined interfaces, capable of connecting hyperheuristic solvers and problem domains within distributed environments. Algorithms, Design Copyright is held by the owner/author(s).

Original languageEnglish
Title of host publicationProceedings of the 7th Euro American Conference on Telematics and Information Systems, EATIS 2014
PublisherAssociation for Computing Machinery
ISBN (Print)9781450324359
StatePublished - 2014
Event7th Euro American Conference on Telematics and Information Systems, EATIS 2014 - Valparaiso, Chile
Duration: 2 Apr 20144 Apr 2014

Publication series

NameACM International Conference Proceeding Series


Conference7th Euro American Conference on Telematics and Information Systems, EATIS 2014


  • Distributed architecture
  • Hyperheuristics
  • Optimization


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