Recent advances in harris hawks optimization: A comparative study and applications
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
Aquila optimizer based PSO swarm intelligence for IoT task scheduling application in cloud computing
This paper introduces IAO, a new swarm intelligence approach for addressing the challenge
of task scheduling in cloud computing. The proposed method uses conventional Aquila …
of task scheduling in cloud computing. The proposed method uses conventional Aquila …
Enhanced flow direction arithmetic optimization algorithm for mathematical optimization problems with applications of data clustering
Data clustering is one of the most common and challenging problems in the machine
learning domain. It requires an efficient method to be addressed. This paper proposed a …
learning domain. It requires an efficient method to be addressed. This paper proposed a …
Optimized task scheduling in cloud computing using improved multi-verse optimizer
The multiverse optimizer (MVO) is one of the most trending algorithms used nowadays. The
searching space in MVO is restricted by the best solution only, leading to a poor searching …
searching space in MVO is restricted by the best solution only, leading to a poor searching …
Vegetation evolution with dynamic maturity strategy and diverse mutation strategy for solving optimization problems
We introduce two new search strategies to further improve the performance of vegetation
evolution (VEGE) for solving continuous optimization problems. Specifically, the first …
evolution (VEGE) for solving continuous optimization problems. Specifically, the first …
Spiking Neural P System with weight model of majority voting technique for reliable interactive image segmentation
Interactive image segmentation is a method for precisely segmenting of the object from
background using information entered by the user. However, most interactive segmentation …
background using information entered by the user. However, most interactive segmentation …
PHEE: Identifying influential nodes in social networks with a phased evaluation-enhanced search
How to identify a small fraction of users with the best capacity to influence other users is
central to the research of social network analysis. This problem is termed influence …
central to the research of social network analysis. This problem is termed influence …
A Bee Colony-Based Optimized Searching Mechanism in the Internet of Things
The Internet of Things (IoT) consists of complex and dynamically aggregated elements or
smart entities that need decentralized supervision for data exchanging throughout different …
smart entities that need decentralized supervision for data exchanging throughout different …
A grammatical evolution approach to the automatic inference of P systems
G Nadizar, G Pietropolli - Journal of Membrane Computing, 2023 - Springer
P systems are a bio-inspired framework for defining parallel models of computation. Despite
their relevance for both theoretical and application scenarios, the design and the …
their relevance for both theoretical and application scenarios, the design and the …
An artificial bee colony algorithm with an adaptive search strategy selection mechanism and its application on workload prediction
As one category of evolutionary algorithms, artificial bee colony (ABC) algorithms have
many advantages such as few control parameters, simple structures and competitive …
many advantages such as few control parameters, simple structures and competitive …