Elephant herding optimization (EHO) is a nature-inspired metaheuristic optimization
algorithm based on the herding behavior of elephants. EHO uses a clan operator to update …

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 …

This paper presents firefly algorithm framework for designing convolutional neural network
architecture. Convolutional neural networks can be classified as a special category of deep …

The sine cosine algorithm (SCA) is a newly emerging optimization algorithm. It is easy for
sine cosine algorithm (SCA) to sink into premature of the algorithm and obtain a slower …

An improved elephant herding optimization (EHOI) is proposed for continuous function
optimization, financial stress prediction problem and two engineering optimization problems …

Optimal placement of drones is a very challenging problem and it belongs to the group of
hard optimization problems for which swarm intelligence algorithms were successfully …

Digital images have revolutionized work in numerous scientific fields such as healthcare,
astronomy, biology, agriculture as well as in every day life. One of the frequent tasks in …

The dragonfly algorithm (DA) is one of the optimization techniques developed in recent
years. The random flying behavior of dragonflies in nature is modeled in the DA using the …

Twitter is now a very open and extensive social media; anyone can freely express their
opinion on any topic on social media. The content or discussion on Twitter is also quite …

This paper presents elephant herding optimization algorithm (EHO) adopted for solving
localization problems in wireless sensor networks. EHO is a relatively new swarm …