Abstract The Artificial Neural Network (ANN) is an important machine learning tool used in
medical data classification for disease diagnosis. The learning algorithm in ANN training …

Artificial neural network (ANN) is an information processing paradigm that loosely models
the thinking patterns of the human brain with specifications such as real-time learning, self …

An improved version of atom search optimization (ASO) algorithm is proposed in this paper.
The search capability of ASO was improved by using simulated annealing (SA) algorithm as …

Salp swarm algorithm is a recent introduction in the field of swarm intelligent algorithms and
has proved its worth over various research domains. Though it is a competitive algorithm but …

Artificial Neural Networks (ANNs) are becoming increasingly useful in numerous areas as
they have a myriad of applications. Prior to using ANNs, the network structure needs to be …

This paper proposes a hybrid version of marine predator algorithm (MPA) and naked mole-
rat algorithm (NMRA) to aggregate the strengths of both algorithms. The new proposed …

Optimization problems are common across various fields, and one effective solution is the
swarm intelligence algorithm. It is essential for the algorithm to deliver high-quality solutions …

Salp swarm algorithm (SSA) based on the swarming behaviour of salps found in ocean, is a
very competitive algorithm and has proved its worth as an excellent problem optimizer …

In recent years, significant advancements have been made in artificial neural network
models and they have been applied to a variety of real-world problems. However, one of the …

Abstract The Harris Hawks Optimization Algorithm is a new metaheuristic optimization that
simulates the process of Harris Hawk hunting prey (rabbit) in nature. The global and local …