Search
Search Results
-
Enhancing sine cosine algorithm based on social learning and elite opposition-based learning
In recent years, Sine Cosine Algorithm (SCA) is a kind of meta-heuristic optimization algorithm with simple structure, simple parameters and...
-
An ant colony path planning optimization based on opposition-based learning for AUV in irregular regions
Aiming at the problems of incomplete path coverage and path redundancy in Autonomous Underwater Vehicle (AUV) path planning, an Ant Colony Path...
-
Greedy opposition-based learning for chimp optimization algorithm
The chimp optimization algorithm (ChOA) is a hunting-based model and can be utilized as a set of optimization rules to tackle optimization problems....
-
An improved gazelle optimization algorithm using dynamic opposition-based learning and chaotic map** combination for solving optimization problems
The gazelle optimization algorithm (GOA) is an iterative optimization method inspired by the agile movements of gazelles, employing adaptive step...
-
COLMA: a chaos-based mayfly algorithm with opposition-based learning and Levy flight for numerical optimization and engineering design
The Mayfly Algorithm (MA) is a widely used metaheuristic algorithm characterized by a simple structure with simple parameters. However, MA may have...
-
2D MRI registration using glowworm swarm optimization with partial opposition-based learning for brain tumor progression
Magnetic resonance imaging (MRI) registration is important in detection, diagnosis, treatment planning, determining radiographic progression,...
-
A variable population size opposition-based learning for differential evolution algorithm and its applications on feature selection
The opposition-based differential evolution (ODE) cannot adaptively adjust the number of individuals partake opposition-based learning, which makes...
-
Chaos embedded opposition based learning for gravitational search algorithm
Due to its robust search mechanism, Gravitational search algorithm (GSA) has achieved a lot of popularity in different research communities. However,...
-
A hybrid chimp optimization algorithm and generalized normal distribution algorithm with opposition-based learning strategy for solving data clustering problems
This paper focuses on connectivity-based data clustering for categorizing similar and dissimilar data into distinct groups. Although classical...
-
Opposition-based sine cosine optimizer utilizing refraction learning and variable neighborhood search for feature selection
This paper proposes new improved binary versions of the Sine Cosine Algorithm (SCA) for the Feature Selection (FS) problem. FS is an essential...
-
An Improved Gannet Optimization Algorithm Based on Opposition-Based Schemes for Feature Selection Problems in High-Dimensional Datasets
In the ever-evolving landscape of optimization algorithms for healthcare datasets, this study introduces an innovative fusion of the gannet...
-
Improved Harris Hawks Optimizer with chaotic maps and opposition-based learning for task scheduling in cloud environment
Scheduling tasks in the cloud system is the main issue that needs to be addressed in order to improve customer satisfaction and system performance....
-
An improved bacterial colony optimization using opposition-based learning for data clustering
Data clustering is a technique for dividing data objects into groups based on their similarity. K-means is a simple, effective algorithm for...
-
Opposition-Based Artificial Hummingbird Algorithm Applied to Elementary Machine Design Problems
Component items and constituent units of different mechanisms or structures to transfer energy in the operational process of any system of...
-
An efficient DBSCAN optimized by arithmetic optimization algorithm with opposition-based learning
As unsupervised learning algorithm, clustering algorithm is widely used in data processing field. Density-based spatial clustering of applications...
-
Segmentation of breast lesion in DCE-MRI by multi-level thresholding using sine cosine algorithm with quasi opposition-based learning
In recent times, the high prevalence of breast cancer in women has increased significantly. Breast cancer diagnosis and detection employing...
-
Optimal threshold selection for segmentation of Chest X-Ray images using opposition-based swarm-inspired algorithm for diagnosis of pneumonia
Image Segmentation using thresholding is one of the most significant areas of image processing. However, the challenge lies in accurately and...
-
Rank-driven salp swarm algorithm with orthogonal opposition-based learning for global optimization
Salp swarm algorithm (SSA) is a relatively new and straightforward swarm-based meta-heuristic optimization algorithm, which is inspired by the...
-
Adaptive dynamic elite opposition-based Ali Baba and the forty thieves algorithm for high-dimensional feature selection
High-dimensional Feature Selection Problems (HFSPs) have grown in popularity but remain challenging. When faced with such complex situations, the...
-
Enhanced prairie dog optimization with Levy flight and dynamic opposition-based learning for global optimization and engineering design problems
This study proposes a new prairie dog optimization algorithm version called EPDO. This new version aims to address the issues of premature...
