Self-adaptive Systems: Facilitating the Use of Combinatorial Problem Solvers

Broderick Crawford, Ricardo Soto, Eric Monfroy, Franklin Johnson

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


New methods in Combinatorial Problem Solving can solve larger problems in different domains. They also became more complex, which means that they are hard to use and fine-tuning to the peculiarities of a given problem, limiting its use to a small set of experts, and instead black-box solvers with automated search procedure are needed for its broad applicability. Autonomous Search Systems represent a new research field defined to precisely address the above challenge. The main goal of this paper is to review recent works on this kind of Self-adaptive Systems from the standpoint of the actual requirement for solvers.

Original languageEnglish
Title of host publicationHCI International 2014 - Posters' Extended Abstracts - International Conference, HCI International 2014, Proceedings
PublisherSpringer Verlag
Number of pages6
ISBN (Print)9783319078564
StatePublished - 2014

Publication series

NameCommunications in Computer and Information Science
Volume434 PART I
ISSN (Print)1865-0929


  • Autonomous Search Systems
  • Combinatorial Problem Solvers
  • Self-adaptive Systems


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