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hello everyone this is Fahad mukbul from the University of sargoda and I am going to present distributed scalable shade bat algorithm that has been developed using Apache spark to solve large-scale Global optimization problems in this article my co-authors include Southern University of sargoda and Dr harajibin from University of cologne heres a brief overview of the presentation I will grow go through each of these item in detail in upcoming slides so the idea behind this work is that many real world problems have increased their scale from few decision variables to thousands or even more decision variables like for example in case of knowledge graphs we can see and that dbpedia has almost 2 million entities and 10 million facts similarly Google Knowledge Graph has almost 500 million entities and more than 3.5 billion effects so with such a light Dimension space convention techniques are not suitable to handle these problems so we need some distributed or parallel techniques to hand