Glowworm Swarm Optimization algorithm is applied for the simultaneous capture of multipleoptima of multimodal functions. The algorithm uses an ensemble of agents, which scan thesearch space and exchange information concerning a fitness of their current position. Thefitness is represented by a level of a luminescent quantity called luciferin. An agent movesin direction of randomly chosen neighbour, which broadcasts higher value of the luciferin.Unfortunately, in the absence of neighbours, the agent does not move at all. This is anunwelcome feature, because it diminishes the performance of the algorithm. Additionally,in the case of parallel processing, this feature can lead to unbalanced loads. This paperpresents simple modifications of the original algorithm, which improve performance of thealgorithm by limiting situations, in which the agent cannot move. The paper provides resultsof comparison of an original and modified algorithms calculated for several multimodal testfunctions.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    IMPROVEMENTS TO GLOWWORM SWARM OPTIMIZATION ALGORITHM


    Beteiligte:
    Oramus, Piotr (Autor:in)

    Erscheinungsdatum :

    2013-03-15


    Anmerkungen:

    doi:10.7494/csci.2010.11.0.7
    Computer Science; Vol. 11; 7 ; 2300-7036 ; 1508-2806



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    Quantum-inspired glowworm swarm optimisation and its application

    Gao, Hongyuan / Du, Yanan / Diao, Ming | British Library Online Contents | 2017




    Optimized Algorithm for Particle Swarm Optimization

    Fuzhang Zhao | BASE | 2016

    Freier Zugriff

    An Adaptive Fuzzy Chicken Swarm Optimization Algorithm

    Wang, Zhenwu / Qin, Chao / Wan, Benting et al. | BASE | 2021

    Freier Zugriff