Talari Ganesh

TL;DR: In this article, an extensive literature review on solving feature selection problem using metaheuristic algorithms which are developed in the ten years (2009-2019) is presented, and a categorical list of more than a hundred metaheuristics algorithms is presented.

TL;DR: This study checks the performance of recently developed gaining–sharing knowledge-based optimization algorithm (GSK), and proposes a novel binary version of GSK algorithm that relies on these two stages with knowledge factor 1 and FS-pBGSK: a population reduction technique that is employed on BGSK algorithm to enhance the exploration and exploitation quality of FS-B GSK.

TL;DR: In this article, the sorghum flour of different particle sizes (251, 178, 152, 104 and 75μm) made from traditional milling process and hammer mill were obtained using different sieves and evaluated for hydration properties.

TL;DR: Among eight transfer functions, V 4 transfer function with population reduction on binary GSK algorithm outperforms other optimizers in terms of accuracy, fitness values and the minimal number of features.

TL;DR: In this article, a modified version of the GSK algorithm is proposed to find the best feature subsets, which is based on how humans acquire and share knowledge during their life-time.