Groundwater Flow Algorithm: A Novel Hydro-geology based Optimization Algorithm

Abstract

A novel meta-heuristic nature-inspired optimization algorithm known as Groundwater Flow Algorithm (GWFA) is proposed in this paper. GWFA is inspired from the movement of groundwater from recharge areas to discharge areas. It follows a position update procedure guided by Darcy's law which provides a mathematical framework of groundwater flow. The proposed optimization algorithm has been evaluated on 23 benchmark functions. The significance of the results is statistically validated using Wilcoxon rank-sum, Friedman and Kruskal Walis tests. To prove the robustness of the algorithm, it has been further applied on several standard engineering problems. From these exhaustive experiments, it has been observed that the proposed GWFA can outperform many state-of-the-art optimization algorithms.

Meta Heuristic Fusion Model for Classification with Modified U-Net-based Segmentation

“…GFA [27]: In the suggested optimization technique and traveling multiple paths in search of a solution is the crucial issue. The dimension is indicated by E .…”

“…The analysis was conducted using a population rate of 10, an iteration gap of 10 and a chromosomal length of 5. For validation, classifiers including Mobile Net [28], Dense net [29], VGG16 [30], XGBOOST [31], MG_Res Net [32], and RN-Bi-LSTM [33] were considered and several optimization algorithms like Harris hawks optimization (HHO) [34], Salp Swarm Algorithm (SSA) [35], MABOS [26], and GFA [27] were utilized.…”