Using novelty search in differential evolution

Iztok Fister*, Andres Iglesias, Akemi Galvez, Javier Del Ser, Eneko Osaba

*Corresponding author for this work

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

8 Citations (Scopus)

Abstract

Novelty search in evolutionary robotics measures a distance of potential novelty solutions to their k-nearest neighbors in the search space. This distance presents an additional objective to the fitness function, with which each individual in population is evaluated. In this study, the novelty search was applied within the differential evolution. The preliminary results on CEC-14 Benchmark function suite show its potential for using also in the future.

Original languageEnglish
Title of host publicationHighlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity
Subtitle of host publicationThe PAAMS Collection - International Workshops of PAAMS 2018, Proceedings
EditorsJuan M. Corchado, Vicente Julian, Eneko Osaba Icedo, Javier Bajo, Patrycja Hoffa-Dabrowska, Ricardo Azambuja Silveira, Alberto Fernandez, Sylvain Giroux, Elena María Navarro Martínez, Philippe Mathieu, Antonio J. Castro, Nayat Sanchez-Pi, Elena del Val, Rainer Unland, Ruben Fuentes-Fernandez
PublisherSpringer Verlag
Pages534-542
Number of pages9
ISBN (Print)9783319947785
DOIs
Publication statusPublished - 2018
Event16th International Conference on Practical Applications of Agents, Multi-Agent Systems, PAAMS 2018 - Toledo, Spain
Duration: 20 Jun 201822 Jun 2018

Publication series

NameCommunications in Computer and Information Science
Volume887
ISSN (Print)1865-0929

Conference

Conference16th International Conference on Practical Applications of Agents, Multi-Agent Systems, PAAMS 2018
Country/TerritorySpain
CityToledo
Period20/06/1822/06/18

Keywords

  • Artificial life
  • Differential evolution
  • Novelty search
  • Swarm and evolutionary robotics

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