Metaheuristics play a critical role in solving optimization problems, and most of them have
been inspired by the collective intelligence of natural organisms in nature. This paper …

Metaheuristics play a crucial role in solving optimization problems. The majority of such
algorithms are inspired by collective intelligence and foraging of creatures in nature. In this …

A novel bio-inspired meta-heuristic algorithm, namely the American zebra optimization
algorithm (AZOA), which mimics the social behaviour of American zebras in the wild, is …

An essential step in engineering proteins and understanding disease-causing missense
mutations is to accurately model protein stability changes when such mutations occur. Here …

Task schedule optimization enables to attain high performance in both homogeneous and
heterogeneous computing environments. The primary objective of task scheduling is to …

The k-means algorithm is a widely used method that starts with an initial partitioning of the
data and then iteratively converges towards the local solution by reducing the Sum of …

Mobile healthcare is an emerging approach which can be realized by using cloud-
connected biomedical implants. In this context, a level-crossing sampling and adaptive-rate …

This paper presents an Artificial Bee Colony (ABC) optimization based algorithm for co-
clustering of high-dimensional data. The ABC algorithm is used for optimization problems …

While evolutionary algorithms are known among the best methods for solving both
theoretical and real-world optimization problems, constraint handling is still one of the major …

The Gorilla Troops Optimizer (GTO) is a novel Metaheuristic Algorithm that was proposed in
2021. Its design was inspired by the lifestyle characteristics of gorillas, including migration to …