The field of nature inspired algorithm (NIA) is a vital area of research that consistently aids in
solving optimization problems. One of the metaheuristic algorithm classifications that has …

Currently, meta-heuristic algorithms have been widely studied and applied, but balancing
exploration and exploitation remains a challenge. In this study, a novel meta-heuristic …

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 …

The group of connected small “Bio-sensor nodes (BSNs)” is employed in various parts of the
human body that is called “Wireless body area networks (WBAN)”. It helps to recognize …

The main objective of this paper is to introduce a new NIO algorithm inspired from the
hunting strategy of the leopard seals called Leopard Seal Optimization (LSO) to provide a …

This paper introduces a hierarchical RIME algorithm with multiple search preferences
(HRIME-MSP) to tackle complex optimization problems. Although the original RIME …

Prostate cancer remains a leading cause of mortality among men globally, necessitating
advancements in diagnostic methodologies to improve detection and treatment outcomes …

Optimization techniques play a pivotal role in refining problem-solving methods across
various domains. These methods have demonstrated their efficacy in addressing real-world …

Optimization techniques are required to find the best solutions to challenging problems in
many engineering disciplines. Metaheuristic algorithms that effectively increase search …

Hybridizing metaheuristic algorithms involves synergistically combining different
optimization techniques to effectively address complex and challenging optimization …