@article{MAKHILLAJIT20054115006,
    title = {A Distributed Hybrid Genetic Algorithm for MRF-Based for Image Segmentation Using Multiagent System},
    journal = {Asian Journal of Information Technology},
    volume = {4},
    number = {11},
    pages = {1006-1011},
    year = {2005},
    issn = {1682-3915},
    doi = {ajit.2005.1006.1011},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2005.1006.1011},
    author = {Kamal E. Melkemi and},
    keywords = {Image segmentation,MRF,multiagent systems,genetic algorithms,distributed evolutionary algorithms},
    abstract = {In this study we propose a new hybrid Island model-based approach for image segmentation structured on MAS. The general purpose of this distributed approach is to diversify a set of starting images using a GA for parallel ICM processes. This Island-MAS is composed of a set of Island-agents. Each one performs ICM starting from its own initial image. We show how cooperating Island-Agents are able to estimate the labels field and find the MAP estimate. Cooperation between Island-gents is performed by exchanging good initial images through a migration strategy. The efficiency of this Island-MAS is shown through some experimental results.}
    }