Deep neuro-fuzzy systems (DNFSs) have been successfully applied to real-world problems
using the efficient learning process of deep neural networks (DNNs) and reasoning aptitude …

Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

Meta-heuristic algorithms are becoming more prevalent and have been widely applied in
various fields. There are numerous reasons for the success of such techniques in both …

Rapid advancements of sixth-generation (6G) network and Internet of Everything (IoE)
supports numerous emerging services and application. Increasing mobile internet traffic and …

In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …

A new optimization method namely the Search and Rescue optimization algorithm (SAR) is
presented here to solve constrained engineering optimization problems. This metaheuristic …

Selection of non-deposit sites is a challenging issue affecting the application of supervised
algorithms for modeling mineral exploration targets. For this, equal number of deposit and …

The greatest and fastest advances in the computing world today require researchers to
develop new problem-solving techniques capable of providing an optimal global solution …

Humans take immense pride in their ability to be unpredictably intelligent and despite huge
advances in science over the past century; our understanding about human brain is still far …

Metaheuristic optimization is a higher-level optimization that uses a simple and efficient
procedure to solve optimization problems. Metaheuristic can understand higher-level …