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Enhanced adaptive-convergence in Harris’ hawks optimization algorithm
This paper presents a novel enhanced adaptive-convergence in Harris’ hawks optimization algorithm (EAHHO). In EAHHO, considering that Harris’ hawks...
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IHHO: an improved Harris Hawks optimization algorithm for solving engineering problems
Harris Hawks optimization (HHO) algorithm was a powerful metaheuristic algorithm for solving complex problems. However, HHO could easily fall within...
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Compound improved Harris hawks optimization for global and engineering optimization
Meta-heuristic algorithms, due to their high search speed and strong generalization ability, are frequently applied in programs mainly to discover...
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A mixed Harris hawks optimization algorithm based on the pinhole imaging strategy for solving numerical optimization problems
The Harris hawks optimization (HHO) algorithm is a new metaheuristic algorithm proposed in recent years. Due to the shortcomings of this algorithm in...
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Improved Harris Hawks optimization for global optimization and engineering design
Harris Hawks Optimization (HHO) is a novel meta-heuristic optimization algorithm. The algorithm is inspired by the behavior of Harris Hawks...
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Influence maximization in social networks based on discrete harris hawks optimization algorithm
Influence Maximization (IM) is an important topic in the field of social network analysis, and is widely used in viral marketing, recommendation...
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AHHO: Arithmetic Harris Hawks Optimization algorithm for demand side management in smart grids
Energy management strategies are crucial to efficiently scheduling appliances and preventing peak generation due to increased energy demand. It is...
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A novel energy-aware method for clustering and routing in IoT based on whale optimization algorithm & Harris Hawks optimization
Smart objects in the Internet of Things (IoT) communicate with one another, gather information, and respond to users requests. In these systems,...
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Convergence of the Harris hawks optimization algorithm and fuzzy system for cloud-based task scheduling enhancement
Task scheduling entails the allocation of various tasks to virtual machines. Consequently, scheduling algorithms are meticulously crafted to achieve...
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A novel approach for Parkinson’s disease diagnosis using deep learning and Harris Hawks optimization algorithm with handwritten samples
Parkinson’s is a progressive neurological disease without a cure; the early symptoms of the disease usually appear slowly and gradually, and early...
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An island parallel Harris hawks optimization algorithm
The Harris hawk optimization (HHO) is an impressive optimization algorithm that makes use of unique mathematical approaches. This study proposes an...
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Harris hawks optimization based on global cross-variation and tent map**
Harris hawks optimization (HHO) is a new meta-heuristic algorithm that builds a model by imitating the predation process of Harris hawks. In order to...
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Classification of anemia using Harris hawks optimization method and multivariate adaptive regression spline
Data mining methods are important for the diagnosis and prediction of diseases. Early and accurate diagnosis of patients is vital for their...
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Harris hawks optimizer based on the novice protection tournament for numerical and engineering optimization problems
The Harris hawks optimizer (HHO) is a novel meta-heuristic algorithm that imitates a Harris hawk’s hunting behavior and has an efficient exploitation...
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Vehicle routing problems based on Harris Hawks optimization
The vehicle routing problem (VRP) is one of the challenging problems in optimization and can be described as combinatorial optimization and NP-hard...
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An external archive guided Harris Hawks optimization using strengthened dominance relation for multi-objective optimization problems
In this paper, Multi-Objective Harris Hawks Optimization (MOHHO) is proposed based on strengthened dominance relation (SRD) to solve multi-objective...
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Cardiovascular risk detection using Harris Hawks optimization with ensemble learning model on PPG signals
Cardiovascular (CVD) risk detection using Electrocardiography (ECG) and photoplethysmography (PPG) signals is an emerging field of research in the...
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Harris hawks optimization algorithm based on elite fractional mutation for data clustering
The density peak clustering (DPC) algorithm is an efficient clustering algorithm that can automatically find the class center and realize arbitrary...
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An aseptic approach towards skin lesion localization and grading using deep learning and harris hawks optimization
Skin cancer is the most common form of cancer. It is predicted that the total number of cases of cancer will double in the next fifty years. It is an...
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Task scheduling approach in fog and cloud computing using Jellyfish Search (JS) optimizer and Improved Harris Hawks optimization (IHHO) algorithm enhanced by deep learning
Scheduling tasks is a pivotal and practical action within the fog and cloud layers. This study introduces a two-tier task scheduling approach with...
