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Novelty search for global optimizationFister, Iztok ...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 exper- iments show a great potential for using novelty search in global optimization.Vir: Applied mathematics and computation. - ISSN 0096-3003 (Vol. 347, 2019, str. 865-881)Vrsta gradiva - članek, sestavni delLeto - 2019Jezik - angleškiCOBISS.SI-ID - 24211976
Avtor
Fister, Iztok |
Iglesias, Andres |
Gálvez, Akemi |
Del Ser, Javier |
Osaba, Eneko |
Fister, Iztok, ml. |
Perc, Matjaž |
Slavinec, Mitja
Teme
novostno iskanje |
diferencialna evolucija |
inteligenca rojev |
evolucijska robotika |
umetno življenje |
novelty search |
differential evolution |
swarm intelligence |
evolutionary robotics |
artificial life
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Fister, Iztok | 31054 |
Iglesias, Andres | ![]() |
Gálvez, Akemi | ![]() |
Del Ser, Javier | ![]() |
Osaba, Eneko | ![]() |
Fister, Iztok, ml. | 38800 |
Perc, Matjaž | 23428 |
Slavinec, Mitja | 11922 |
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