Signaling and visualization for interactive evolutionary search and selection of conceptual solutions

Amiram Moshaiov, Yevgeny Rizakov

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

Abstract

This paper deals with the problem of selecting and ordering a pre-defined number of conceptual solutions (concepts) out of a given finite set of candidate concepts. The process involves human intervention which allows the inclusion of un-modeled considerations, as well as the saving of computational resources. To support human intervention special visualization elements are developed. The proposed interactive method is demonstrated on a path planning problem using the method of Evolution Strategies.

Original languageEnglish
Title of host publicationGECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion
Pages1359-1366
Number of pages8
DOIs
StatePublished - 2013
Event15th Annual Conference on Genetic and Evolutionary Computation, GECCO 2013 - Amsterdam, Netherlands
Duration: 6 Jul 201310 Jul 2013

Publication series

NameGECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion

Conference

Conference15th Annual Conference on Genetic and Evolutionary Computation, GECCO 2013
Country/TerritoryNetherlands
CityAmsterdam
Period6/07/1310/07/13

Keywords

  • Interactive evolutionary computation
  • Set-based concept

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