Swarm Intelligence has applications in various domains such as image & data analysis, structural optimization, finding optimal routes, and function optimization. The computational modeling of swarm intelligence is applied in various technologies such as bioinformatics, medical informatics, and machine learning. Increasing demand for big data analytics is one of the major driver for the growth of swarm intelligence market worldwide. Increasing demand for insights from structured and unstructured data related to market trend, customer expectation, and product description have propelled demand for big data analytics. According to Coherent Market Insights, total digital data is projected to reach around 180 zettabytes by 2025, worldwide. The big data analytics is classified into four components: multi-objective optimization, handling dynamical data, handling high dimensional data, and handling large amount of data. With the help of swarm intelligence effective methods can be designed, which can be utilized to solve big data analytics problems.
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