RT Journal Article
T1 Novelty search for global optimization
A1 Fister, Iztok
A1 Iglesias, Andres
A1 Galvez, Akemi
A1 Del Ser, Javier
A1 Osaba, Eneko
A1 Fister, Iztok
A1 Perc, Matjaž
A1 Slavinec, Mitja
AB Novelty search is a tool in evolutionary and swarm robotics for maintaining the diversity of population needed for continuous robotic operation. It enables nature-inspired algorithms to evaluate solutions on the basis of the distance to their k-nearest neighbors in the search space. Besides this, the fitness function represents an additional measure for evaluating the solution, with the purpose of preserving the so-named novelty solutions into the next generation. In this study, a differential evolution was hybridized with novelty search. The differential evolution is a well-known algorithm for global optimization, which is applied to improve the results obtained by the other solvers on the CEC-14 benchmark function suite. Furthermore, functions of different dimensions were taken into consideration, and the influence of the various novelty search parameters was analyzed. The results of experiments show a great potential for using novelty search in global optimization.
SN 0096-3003
YR 2019
FD 2019-04-15
LK https://hdl.handle.net/11556/4511
UL https://hdl.handle.net/11556/4511
LA eng
NO Fister , I , Iglesias , A , Galvez , A , Del Ser , J , Osaba , E , Fister , I , Perc , M & Slavinec , M 2019 , ' Novelty search for global optimization ' , Applied Mathematics and Computation , vol. 347 , pp. 865-881 . https://doi.org/10.1016/j.amc.2018.11.052
NO Publisher Copyright: © 2018 Elsevier Inc.
NO Iztok Fister acknowledges financial support from the Slovenian Research Agency (Grant no. P2-0041 ). Iztok Fister Jr. acknowledges financial support from the Slovenian Research Agency (Grant no. P2-0057 ). Matjaž Perc acknowledges financial support from the Slovenian Research Agency (Grant nos. J1-7009 , J4-9302 , J1-9112 and P5-0027 ). Andres Iglesias and Akemi Galvez acknowledge financial support from the projects TIN2017-89275-R (AEI/FEDER, UE) and PDE-GIR (H2020, MSCA program, ref. 778035). Eneko Osaba and Javier Del Ser would like to thank the Basque Government for its funding support through the EMAITEK program.
DS TECNALIA Publications
RD 28 jul 2024