Abstract Presently, the Cuckoo Search algorithm is attracting unprecedented attention from
the research community and applications of the algorithm are expected to increase in …

This study proposes a novel bioinspired metaheuristic simulating how the coronavirus
spreads and infects healthy people. From a primary infected individual (patient zero), the …

Abstract Machine-based classification usually involves some computer programs, known as
algorithms, developed using several mathematical formulations to accelerate the automated …

Swarm-based algorithms are widely accepted in different fields of engineering as they have
proven themselves effective in solving real-world optimization problems. According to the …

Data classification is one of the most frequently used tasks carried out to label information
into predefined classes. The most commonly used models for data classification are Feed …

In this era of information technology, abundant information is available on the internet in the
form of web pages and documents on any given topic. Finding the most relevant and …

For optimization applications, an innovative bio inspired algorithm of Chicken Swarm
Optimization (CSO) is suggested, the CSO represents hierarchy of chicken swarm. Chicken …

Meta-heuristic algorithms provide derivative-free solutions to optimize complex problems.
Back-propagation Neural Network (BP) algorithm is one of the most commonly used and a …

This paper simulates the cuckoo incubation process and flight path to optimize the Wavelet
Neural Network (WNN) model, and proposes a parking prediction algorithm based on WNN …

Nature inspired meta-heuristic algorithms provide derivative-free solutions to solve complex
problems. Cuckoo Search (CS) algorithm is one of the latest additions to the group of nature …