Current Studies and Applications of Krill Herd and Gravitational Search Algorithms in Healthcare
Rebwar Khalid Hamad, Tarik A. Rashid

TL;DR
This paper reviews the use of Krill Herd and Gravitational Search algorithms in healthcare, highlighting their variations, applications, and potential for hybridization to improve medical problem-solving.
Contribution
It provides the first comprehensive survey of KH and GSA in healthcare, exploring their applications, modifications, and hybridization for researchers.
Findings
KH and GSA are effective in healthcare applications.
Various modifications enhance algorithm performance.
Hybrid approaches show promising results.
Abstract
Nature-Inspired Computing or NIC for short is a relatively young field that tries to discover fresh methods of computing by researching how natural phenomena function to find solutions to complicated issues in many contexts. As a consequence of this, ground-breaking research has been conducted in a variety of domains, including synthetic immune functions, neural networks, the intelligence of swarm, as well as computing of evolutionary. In the domains of biology, physics, engineering, economics, and management, NIC techniques are used. In real-world classification, optimization, forecasting, and clustering, as well as engineering and science issues, meta-heuristics algorithms are successful, efficient, and resilient. There are two active NIC patterns: the gravitational search algorithm and the Krill herd algorithm. The study on using the Krill Herd Algorithm (KH) and the Gravitational…
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Taxonomy
TopicsMetaheuristic Optimization Algorithms Research
