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

Abstract

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
Pages503-508
Number of pages6
ISBN (Print)9783319078564
DOIs
StatePublished - 2014
Externally publishedYes

Publication series

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

Keywords

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

Fingerprint

Dive into the research topics of 'Self-adaptive Systems: Facilitating the Use of Combinatorial Problem Solvers'. Together they form a unique fingerprint.

Cite this