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An Effective Hybrid Metaheuristic Algorithm for Solving Global Optimization Algorithms
Recently, the Honey Badger Algorithm (HBA) was proposed as a metaheuristic algorithm. Honey badger hunting behaviour inspired the development of this...
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Metaheuristic algorithms and their applications in wireless sensor networks: review, open issues, and challenges
Metaheuristic algorithms have wide applicability, particularly in wireless sensor networks (WSNs), due to their superior skill in solving and...
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Prism refraction search: a novel physics-based metaheuristic algorithm
Single-solution-based optimization algorithms are computationally cheap yet powerful methods that can be used on various optimization tasks at...
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Quantum-inspired metaheuristic algorithms: comprehensive survey and classification
Metaheuristic algorithms are widely known as efficient solutions for solving problems of optimization. These algorithms supply powerful instruments...
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Image data hiding schemes based on metaheuristic optimization: a review
The digital content exchange on the Internet is associated with information security risks. Hiding data in digital images is a promising direction in...
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Metaheuristic-based hyperparameter optimization for multi-disease detection and diagnosis in machine learning
Metaheuristic algorithms with machine learning techniques have become popular because it works so well for problems like regression, classification,...
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Innovative hybrid metaheuristic algorithms: exponential mutation and dual-swarm strategy for hybrid feature selection problem
Feature selection is an important pre-processing step aiming to reduce the number of features and increase feature space quality. This step helps...
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Detecting review fraud using metaheuristic graph neural networks
Although online reviews play a critical role in sha** consumer behavior and establishing institutional trust, this reliance on online reviews has...
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Evaluating the performance of metaheuristic-tuned weight agnostic neural networks for crop yield prediction
This study explores crop yield forecasting through weight agnostic neural networks (WANN) optimized by a modified metaheuristic. WANNs offer the...
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Novel Initialization Functions for Metaheuristic-Based Online Virtual Network Embedding
Virtual network embedding (VNE) is the process of allocating resources in a substrate (i.e. physical) network to support virtual networks optimally....
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Metaheuristic-based time series clustering for anomaly detection in manufacturing industry
Nowadays time series clustering is of great importance in manufacturing industries. Meanwhile, it is considerably challenging to achieve explainable...
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Multiclass feature selection with metaheuristic optimization algorithms: a review
Selecting relevant feature subsets is vital in machine learning, and multiclass feature selection is harder to perform since most classifications are...
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Four vector intelligent metaheuristic for data optimization
Swarm intelligence (SI) algorithms represent a class of Artificial Intelligence (AI) optimization metaheuristics used for solving complex...
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Scientometric analysis of quantum-inspired metaheuristic algorithms
Quantum algorithms, based on the principles of quantum mechanics, offer significant parallel processing capabilities with a wide range of...
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A survey on binary metaheuristic algorithms and their engineering applications
This article presents a comprehensively state-of-the-art investigation of the engineering applications utilized by binary metaheuristic algorithms....
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Enhancing aerial robots performance through robust hybrid control and metaheuristic optimization of controller parameters
Autonomous flying robots (AFRs) have captured significant interest owing to their agile maneuverability, adaptability, and economical viability....
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Energy-aware scheduling protocol-based hybrid metaheuristic technique to optimize the lifespan in WSNs
Topology control is a significant research problem when it comes to designing energy-efficient wireless sensor networks (WSNs). It is a metric for...
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A survey of energy-efficient clustering routing protocols for wireless sensor networks based on metaheuristic approaches
The increase in proposed clustering routing protocols for Wireless Sensor Networks has motivated the development of survey studies that provide quick...
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Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
Load balancing is a serious problem in cloud computing that makes it challenging to ensure the proper functioning of services contiguous to the...
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A metaheuristic-based algorithm for optimizing node deployment in wireless sensor network
Communication quality is compromised when wireless sensor network (WSN) operate in harsh environments, which can be improved by supplementing the...
