VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Novelty search for global optimization
    Fister, 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 del
    Leto - 2019
    Jezik - angleški
    COBISS.SI-ID - 24211976
    DOI

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