Advances in Meta-Heuristic Optimization Algorithms in Big Data Text Clustering

This paper presents a comprehensive survey of the meta-heuristic optimization algorithms on text clustering applications and highlights its main procedures. These Artificial Intelligence (AI) are recognized as promising swarm intelligence methods due to their successful ability solve machine learning problems, especially problems. reviews all relevant literature meta-heuristic-based applications, including many variants, such basic, modified, hybridized, multi-objective methods. As well, procedures critical discussions given. Hence, this review reports advantages disadvantages recommends potential future research paths. The keywords that have been considered in text, clustering, meta-heuristic, optimization, algorithm.